Publications
Books and chapters (26)
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1. Michal Haindl: Bidirectional texture function modeling. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging : Mathematical Imaging and Vision, 1023-1064. Springer International Publishing, Cham 2023. Download |
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2. Jiří Grim, Petr Somol: A Statistical Review of the MNIST Benchmark Data Problem. Advances in Pattern Recognition Research, 172-193. Nova Science Publishers, Inc., New York 2018. Download |
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3. H. Beran, R. Bízková, M. Bunček, P. Burget, J. Burian, A. Čirličová, P. Csank, V. Czesaná, B. Čížek, V. Datel, M. Doupovec, D. Drábová, J. Filová, J. Furman, Michal Haindl, J. Hajič, M. Hanzlík, M. Hartl, Z. Havelka, O. Havle, J. Hlaváčková, J. Holoubek, T. Hrubínek, F. Hýbner, D. Kaminský, P. Knap, P. Komárek, R. Komzák, M. Kopicová, J. Krechl, J. Kubalík, V. Kysela, Josef Lazar, V. Mařík, Z. Matoušková, V. Matyáš, S. McKenna, S. Mišák, J. Novák, E. Odvářka, E. Palíšek, M. Pazour, J. Prokš, J. Proksch, J. Psutka, V. Radová, M. Rathouský, J. Růžička, D. Sedláček, T. Sirovátka, O. Sládek, P. Smrž, P. Sochor, Petr Somol, O. Sotona, J. Straková, Z. Strnad, M. Svítek, T. Šamanová, J. Šedivý, B. Šimák, R. Šiser, D. Tatýrek, P. Václavek, M. Václavík, M. Valášek, P. Vavřín, P. Volhejn, P. Vrba, J. Žára, J. Žídek: Průmysl 4.0 Výzva pro Českou republiku. Management Press, Praha 2016. Download |
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4. Michal Haindl, Václav Remeš: Digital Mammogram Enhancement. Mammography Techniques and Review, 63-78. InTech Education and Publishing, Zagreb 2015. Download |
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5. Michal Haindl, Jiří Filip: Visual Texture : Accurate Material Appearance Measurement, Representation and Modeling. Springer-Verlag London, London 2013. Download |
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6. Petr Somol, Jana Novovičová, Pavel Pudil: Moderní metody výběru příznaků ve statistickém rozpoznávání. Umělá inteligence 6, 424-468. Academia, Praha 2013. Download |
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7. Michal Haindl: Visual Data Recognition and Modeling Based on Local Markovian Models. Mathematical Methods for Signal and Image Analysis and Representation, 241-259. Springer London, London 2012. Download |
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8. Petr Somol, Jana Novovičová, Pavel Pudil: Efficient Feature Subset Selection and Subset Size Optimization. Pattern Recognition, Recent Advances, 75-98. In-Teh, Vukovar, Croatia 2010. Download |
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9. Pavel Vácha, Michal Haindl: Illumination Invariants Based on Markov Random Fields. Pattern Recognition, Recent Advances, 253-272. In-Teh, Vukovar, Croatia 2010. Download |
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10. Igor Vajda, Jiří Grim: Neural networks. Systems Science and Cybernetics, 224-248. Eolss Publishers-UNESCO, Oxford 2008. Download |
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11. Michal Haindl, Stanislav Mikeš: Unsupervised Texture Segmentation. Pattern Recognition, 227-248. In-Tech, Vienna 2008. Download |
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12. Michal Haindl, Pavel Žid: Multimodal Range Image Segmentation. Vision Systems, Segmentation & Pattern Recognition, 25-46. I-Tech Education and Publishing, Vienna, Vienna 2007. Download |
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13. Pavel Mrázek, J. Weickert, A. Bruhn: On robust estimation and smoothing with spatial and tonal kernels. Geometric properties for incomplete data, 335-352. Springer, Berlin 2006. |
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14. Jiří Grim: Pravděpodobnostní neuronové sítě. Umělá inteligence (4), 276-312. Academia, Praha 2003. |
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15. Pavel Pudil, Jana Novovičová, Petr Somol: Recent feature selection methods in statistical pattern recognition. Pattern Recognition and String Matching, 1-51. Kluwer, Dordrecht 2003. |
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16. Michal Haindl: Model-based pattern recognition. Pattern Recognition and String Matching, 201-236. Kluwer, Dordrecht 2003. |
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17. Michal Haindl, Stanislava Šimberová: Model-based restoration of short-exposure solar images. Frontiers in Artificial Intelligence and Applications. 87. Soft Computing Systems Design, Management and Applications, 697-706. IOS Press, Amsterdam 2002. |
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18. Jiří Grim, Pavel Boček, Pavel Pudil: Interaktivní prezentace výsledků sčítání lidu pomocí pravděpodobnostních modelů se zaručenou ochranou anonymity dat. Manažerské rozhledy FM 2001. Sborník příspěvků, 13-18. VŠE, Jindřichův Hradec 2002. |
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19. Pavel Pudil, Z. Říhová: Učící se metody rozpoznávání a jejich použití v ekonomii a managementu. Manažerské rozhledy FM 2000. Sborník příspěvků FM JU, 81-90. VŠE, Praha 2001. |
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20. K. Haindl, Michal Haindl: Aeration at hydraulic structures. Developments in Hydraulic Engineering - 2, 95-134. Gihodo, Tokyo 2001. |
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21. Pavel Pudil: Multidisciplinární podpora managementu. Vědecký sborník VŠE v Praze. University of Economics, Prague 2000. |
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23. Pavel Pudil, Jana Novovičová: Novel methods for feature subset selection with respect to problem knowledge. Feature Extraction, Construction and Selection: A Data Mining Perspective, 101-116. Kluwer Academic, Boston 1998. |
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24. Michal Haindl, Stanislava Šimberová: A regression model contribution to astronomical image reconstruction. Data Analysis in Astronomy, 303-310. World Scientific, Singapore 1997. |
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25. Jana Novovičová, Pavel Pudil: Feature selection and classification by modified model with latent structure. Dealing with Complexity. A Neural Networks Approach, 126-138. Springer, London 1997. |
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Journal articles (121)
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1. Petr Dostál: Almost log-optimal trading strategies for small transaction costs in model with stochastic coefficients. Kybernetika 58:6 (2022), 903-959. Ústav teorie informace a automatizace AV ČR, v. v. i.. Download |
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2. Stanislav Mikeš, Michal Haindl: Texture Segmentation Benchmark. IEEE Transactions on Pattern Analysis and Machine Intelligence 44:9 (2022), 5647-5663. IEEE Computer Society. Download |
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3. Jiří Filip, Radomír Vávra, Martina Kolafová, F. J. Maile: Assessment of sparkle and graininess in effect coatings using a high-resolution gonioreflectometer and psychophysical studies. Journal of Coatings Technology and Research 18:6 (2021), 1511-1530. Springer. Download |
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4. Jiří Filip, Radomír Vávra, F. J. Maile, Martina Kolafová: Framework for Capturing and Editing of Anisotropic Effect Coatings. Computer Graphics Forum 40:1 (2021), 68-80. Wiley. Download |
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5. Petr Dostál, Tibor Mach: Progressive projection and log-optimal investment in the frictionless market. Teoriâ slučajnyh processov 25:1 (2020), 37-77. Natsional'na Akademiya Nauk Ukrainy. Download |
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6. Jiří Filip, Martina Kolafová: Perceptual Attributes Analysis of Real-World Materials. ACM Transactions on Applied Perception 16. Association for Computing Machinery. Download |
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7. Jiří Filip, Radomír Vávra: Image-based appearance acquisition of effect coatings. Computational Visual Media 5:1 (2019), 73-89. Springer. Download |
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8. Jiří Filip, Radomír Vávra, F. J. Maile: Optical analysis of coatings including diffractive pigments using a high-resolution gonioreflectometer. Journal of Coatings Technology and Research 16:2 (2019), 555-572. Springer. Download |
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9. Michal Haindl, Václav Remeš: Pseudocolor enhancement of mammogram texture abnormalities. Machine Vision and Applications 30:4 (2019), 785-794. Springer. Download |
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10. Michal Havlíček, Michal Haindl: Texture Spectral Similarity Criteria. IET Image Processing 13:11 (2019), 1998-2007. Wiley. Download |
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11. Václav Remeš, Michal Haindl: Bark recognition using novel rotationally invariant multispectral textural features. Pattern Recognition Letters 125:1 (2019), 612-617. Elsevier. Download |
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12. Radomír Vávra, Jiří Filip: Adaptive slices for acquisition of anisotropic BRDF. Computational Visual Media 4:1 (2018), 55-69. Springer. Download |
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13. Václav Remeš, Michal Haindl: Region of Interest Contrast Measures. Kybernetika 54:5 (2018), 978-990. Ústav teorie informace a automatizace AV ČR, v. v. i.. Download |
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14. Jiří Filip, Martina Kolafová, Michal Havlíček, Radomír Vávra, Michal Haindl, H. Rushmeier: Evaluating Physical and Rendered Material Appearance. Visual Computer 34, 805-816. Springer. Download |
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15. Jiří Filip, Michal Havlíček, Radomír Vávra: Adaptive highlights stencils for modeling of multi-axial BRDF anisotropy. Visual Computer 33:1 (2017), 5-15. Springer. Download |
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16. Jiří Grim: Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial. International Journal of Pattern Recognition and Artificial Intelligence 31. Download |
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17. Jiří Filip, Radomír Vávra, Michal Havlíček, Mikuláš Krupička: Predicting Visual Perception of Material Structure in Virtual Environments. Computer Graphics Forum 36:1 (2017), 89-100. Wiley. Download |
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18. F. J. Maile, Jiří Filip: New applications for polychromatic effect pigments. Asia Pacific Coatings Journal 29:2 (2016), 35-38. Download |
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19. Michal Haindl, Stanislav Mikeš: A competition in unsupervised color image segmentation. Pattern Recognition 57:9 (2016), 136-151. Elsevier. Download |
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20. V. Havran, Jiří Filip, K. Myszkowski: Perceptually Motivated BRDF Comparison using Single Image. Computer Graphics Forum 35:4 (2016), 1-12. Wiley. Download |
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21. Radomír Vávra, Jiří Filip: Minimal Sampling for Effective Acquisition of Anisotropic BRDFs. Computer Graphics Forum 35:7 (2016), 299-309. Wiley. Download |
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22. Michal Haindl, Mikuláš Krupička: Unsupervised detection of non-iris occlusions. Pattern Recognition Letters 57:5 (2015), 60-65. Elsevier. Download |
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23. Stanislav Mikeš, Michal Haindl, G. Scarpa, R. Gaetano: Benchmarking of Remote Sensing Segmentation Methods. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8:5 (2015), 2240-2248. Download |
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24. Michal Haindl, Matěj Sedláček, Radomír Vávra: Virtual Reconstruction of Cultural Heritage Artifacts. ERCIM News 103 (2015), 12-13. European Research Consortium for Informatics and Mathematics. Download |
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25. Jiří Grim: Sequential pattern recognition by maximum conditional informativity. Pattern Recognition Letters 45:1 (2014), 39-45. Elsevier. Download |
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26. Jiří Filip, Radomír Vávra: Template-Based Sampling of Anisotropic BRDFs. Computer Graphics Forum 33:7 (2014), 91-99. Wiley. Download |
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27. Jiří Filip, Radomír Vávra, Mikuláš Krupička: Rapid Material Appearance Acquisition Using Consumer Hardware. Sensors 14:10 (2014), 19785-19805. MDPI. Download |
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28. Michal Haindl, Stanislav Mikeš: Unsupervised Image Segmentation. IAPR Newsletter 36:4 (2014), 23-23. Download |
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29. Pavel Vácha, Michal Haindl: Wood Variety Recognition on Mobile Devices. ERCIM News 93 (2013), 52-52. European Research Consortium for Informatics and Mathematics. Download |
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30. Jiří Filip, Radomír Vávra: Fast method of sparse acquisition and reconstruction of view and illumination dependent datasets. Computers & Graphics-Uk 37:5 (2013), 376-388. Elsevier. Download |
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31. Michal Haindl, J. Kittler: Introduction to the Special Theme Image Understanding. ERCIM News 95:95 (2013), 9-9. European Research Consortium for Informatics and Mathematics. Download |
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32. Michal Haindl, Jiří Filip, Radomír Vávra: Digital Material Appearance: the Curse of Tera-Bytes. ERCIM News 90 (2012), 49-50. European Research Consortium for Informatics and Mathematics. Download |
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33. Martin Hatka, Michal Haindl: Advanced Material Rendering in Blender. The International Journal of Virtual Reality 11:2 (2012), 15-23. Download |
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34. Petr Somol: Feature Selection Software to Improve Accuracy and Reduce Cost in Automated Recognition Systems. ERCIM News 84 (2011), 54-54. European Research Consortium for Informatics and Mathematics. Download |
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35. D. Chetverikov, S. Fazekas, Michal Haindl: Dynamic texture as foreground and background. Machine Vision and Applications 22:5 (2011), 741-750. Springer. Download |
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36. Pavel Vácha, Michal Haindl, Tomáš Suk: Colour and rotation invariant textural features based on Markov random fields. Pattern Recognition Letters 32:6 (2011), 771-779. Elsevier. Download |
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37. Michal Haindl, Vojtěch Havlíček, Jiří Grim: Probabilistic mixture-based image modelling. Kybernetika 47:3 (2011), 482-500. Ústav teorie informace a automatizace AV ČR, v. v. i.. Download |
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38. Petr Somol, Jiří Grim, Jana Novovičová, P. Pudil: Improving feature selection process resistance to failures caused by curse-of-dimensionality effects. Kybernetika 47:3 (2011), 401-425. Ústav teorie informace a automatizace AV ČR, v. v. i.. Download |
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39. Pavel Vácha, Michal Haindl: Content-Based tile Retrieval System. ERCIM News 85 (2011), 45-45. European Research Consortium for Informatics and Mathematics. Download |
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40. Stanislav Mikeš, Michal Haindl, Radek Holub: National Gallery in Prague. ERCIM News 86 (2011), 23-24. European Research Consortium for Informatics and Mathematics. Download |
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41. Michal Haindl, Jiří Filip, Martin Hatka: Realistic Material Appearance Modelling. ERCIM News 81 (2010), 13-14. European Research Consortium for Informatics and Mathematics. Download |
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42. Michal Haindl: Scientometry Leading us Astray. ERCIM News 82 (2010), 8-8. European Research Consortium for Informatics and Mathematics. Download |
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43. V. Havran, Jiří Filip, K. Myszkowski: Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization. Computer Graphics Forum 29:1 (2010), 175-190. Wiley. Download |
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44. Petr Somol, Jana Novovičová: Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality. IEEE Transactions on Pattern Analysis and Machine Intelligence 32:11 (2010), 1921-1939. IEEE Computer Society. Download |
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45. Jiří Grim, Jan Hora, Pavel Boček, Petr Somol, Pavel Pudil: Statistical Model of the 2001 Czech Census for Interactive Presentation. Journal of Official Statistics 4 (2010), 1-23. Download |
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46. Jiří Grim, Petr Somol, Michal Haindl, J. Daneš: Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models. IEEE Transactions on Image Processing 18:4 (2009), 765-773. Institute of Electrical and Electronics Engineers. |
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47. G. Scarpa, R. Gaetano, Michal Haindl, J. Zerubia: Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation. IEEE Transactions on Image Processing 18:8 (2009), 1830-1843. Institute of Electrical and Electronics Engineers. Download |
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48. Jiří Grim, J. Hora, Petr Somol, Pavel Boček, P. Pudil: Interaktivní statistický model dat ze sčítání lidu v České republice v r. 2001. Statistika: Statistics and Economy Journal 89:4 (2009), 285-299. Český Statistický Úřad. Download |
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49. Jiří Filip, M.J. Chantler, Michal Haindl: On uniform resampling and gaze analysis of bidirectional texture functions. ACM Transactions on Applied Perception 6:3 (2009), 1-15. Association for Computing Machinery. Download |
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50. Jiří Filip, Michal Haindl: Bidirectional Texture Function Modeling: State of the Art Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 31:11 (2009), 1921-1940. IEEE Computer Society. Download |
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51. Jiří Grim, Jan Hora: Iterative principles of recognition in probabilistic neural networks. Neural Networks 21:6 (2008), 838-846. Elsevier. |
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52. Michal Haindl, Vojtěch Havlíček, Jiří Grim: Probabilistic Discrete Mixtures Colour Texture Models. Lecture Notes in Computer Science 5197 (2008), 675-682. Download |
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53. Jiří Filip, M.J. Chantler, P.R. Green, Michal Haindl: A psychophysically validated metric for bidirectional texture data reduction. ACM Transactions on Graphics 27:5 (2008), 138:1-138:11. Download |
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54. Pavel Pudil, Petr Somol: Identifying the most informative variables for decision-making problems – a survey of recent approaches and accompanying problems. Acta Oeconomica Pragensia 16:4 (2008), 37-55. Download |
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55. Petr Somol, Jana Novovičová: Evaluating the Stability of Feature Selectors that Optimize Feature Subset Cardinality. Lecture Notes in Computer Science 5342 (2008), 956-966. Download |
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56. Michal Haindl, Jiří Filip: Extreme Compression and Modeling of Bidirectional Texture Function. IEEE Transactions on Pattern Analysis and Machine Intelligence 29:10 (2007), 1859-1865. IEEE Computer Society. Download |
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57. Michal Haindl, Jiří Grim, Stanislav Mikeš: Texture Defect Detection. Lecture Notes in Computer Science 2007, 987-994. Download |
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58. Michal Haindl, Stanislav Mikeš: Unsupervised Texture Segmentation Using Multiple Segmenters Strategy. Lecture Notes in Computer Science 4472 (2007), 210-219. |
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59. G. Scarpa, Michal Haindl, J. Zerubia: A hierarchical texture model for unsupervised segmentation of remotely sensed images. Lecture Notes in Computer Science -:4522 (2007), 303-312. Download |
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60. Jana Novovičová, Petr Somol, Michal Haindl, Pavel Pudil: Conditional Mutual Information Based Feature Selection for Classification Task. Lecture Notes in Computer Science 45:4756 (2007), 417-426. |
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61. Michal Haindl, Stanislav Mikeš, G. Scarpa: Unsupervised Detection of Mammogram Regions of Interest. Lecture Notes in Computer Science 2007, 33-40. Download |
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62. Jiří Grim: Neuromorphic features of probabilistic neural networks. Kybernetika 43:5 (2007), 697-712. Ústav teorie informace a automatizace AV ČR, v. v. i.. |
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63. Petr Somol, Jana Novovičová, Pavel Pudil: Notes on the evolution of feature selection methodology. Kybernetika 43:5 (2007), 713-730. Ústav teorie informace a automatizace AV ČR, v. v. i.. |
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64. Jiří Grim, Jan Hora: Minimum Information Loss Cluster Analysis for Cathegorical Data. Lecture Notes in Computer Science 2007, 233-247. |
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65. Jiří Filip, Michal Haindl: BTF Modelling using BRDF Texels. International Journal of Computer Mathematics 84:9 (2007), 1267-1283. Download |
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66. Jiří Filip, Michal Haindl: BTF Modelling Using BRDF Texels. Lecture Notes in Computer Science 4153 (2006), 475-484. Download |
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67. Jiří Filip, Michal Haindl, D. Chetverikov: Fast Synthesis of Dynamic Colour Textures. ERCIM News 66 (2006), 53-54. European Research Consortium for Informatics and Mathematics. Download |
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68. Stanislav Mikeš, Michal Haindl: Prague texture segmentation data generator and benchmark. ERCIM News 64 (2006), 67-68. European Research Consortium for Informatics and Mathematics. |
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69. Petr Somol, Jana Novovičová, Pavel Pudil: Flexible-hybrid sequential floating search in statistical feature selection. Lecture Notes in Computer Science 44:4109 (2006), 623-639. Download |
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70. Jana Novovičová, Petr Somol, Pavel Pudil: Oscillating feature subset search algorithm for text categorization. Lecture Notes in Computer Science 44:4225 (2006), 578-587. |
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71. Jiří Grim, Petr Somol, Michal Haindl, Pavel Pudil: Color Texture Segmentation by Decomposition of Gaussian Mixture Model. Lecture Notes in Computer Science 19:4225 (2006), 287-296. Download |
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72. Jiří Grim: EM cluster analysis for categorical data. Lecture Notes in Computer Science 44:4109 (2006), 640-648. |
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73. Michal Haindl, Petr Somol, D. Ververidis, C. Kotropoulos: Feature Selection Based on Mutual Correlation. Lecture Notes in Computer Science 19:4225 (2006), 569-577. Download |
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74. P. Paclík, Jana Novovičová, R.P.W. Duin: Building Road-Sign Classifiers Using a Trainable Similarity Measure. IEEE Transactions on Intelligent Transportation Systems 7:3 (2006), 309-321. Download |
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75. Michal Haindl, Stanislava Šimberová: Restoration of multitemporal short-exposure astronomical images. Proceedings of the 14th Scandinavian Conference on Image Analysis. SCIA 2005 3540. |
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76. Jiří Grim, Petr Somol, Pavel Pudil: Probabilistic neural network playing and learning Tic-Tac-Toe. Pattern Recognition Letters 26:12 (2005), 1866-1873. Elsevier. |
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77. M. Svítek, Jana Novovičová: Performance parameters definition and processing. Neural Network World 15:6 (2005), 1-11. Ústav informatiky AV ČR, v. v. i.. |
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78. Jana Novovičová: Text document classification. ERCIM News, 53-54. European Research Consortium for Informatics and Mathematics. |
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79. Michal Haindl, Jiří Filip: Modelling of authentic reflectance behaviour in virtual environments. ERCIM News, 49-50. European Research Consortium for Informatics and Mathematics. |
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80. Petr Somol, B. Baesens, Pavel Pudil, J. Vanthienen: Filter- versus wrapper-based feature selection for credit scoring. International Journal of Intelligent Systems 20:10 (2005), 985-999. Wiley. Download |
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81. Michal Haindl, Stanislav Mikeš: Colour texture segmentation using modelling approach. Pattern Recognition and Image Analysis 3687:- (2005), 484-491. |
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82. Petr Somol, Pavel Pudil, J. Kittler: Fast Branch & Bound algorithms for optimal feature selection. IEEE Transactions on Pattern Analysis and Machine Intelligence 26:7 (2004), 900-912. IEEE Computer Society. |
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83. Jiří Grim, J. Hora, Pavel Pudil: Interaktivní reprodukce výsledků sčítání lidu pomocí statistického modelu se zaručenou ochranou anonymity dat. Statistika: Statistics and Economy Journal 40:5 (2004), 400-414. Český Statistický Úřad. |
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84. Jana Novovičová, Antonín Malík: Text document classification based on mixture models. Kybernetika 40:3 (2004), 293-304. Ústav teorie informace a automatizace AV ČR, v. v. i.. |
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85. Jiří Grim, Michal Haindl: Texture modelling by discrete distribution mixtures. Computational Statistics and Data Analysis 41, 603-615. Elsevier. |
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86. Jiří Grim, P. Just, Pavel Pudil: Strictly modular probabilistic neural networks for pattern recognition. Neural Network World 13:6 (2003), 599-615. Ústav informatiky AV ČR, v. v. i.. |
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87. Pavel Pudil, Jana Novovičová, Petr Somol: Feature selection toolbox software package. Pattern Recognition Letters 23:4 (2002), 487-492. Elsevier. |
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88. Petr Somol, Pavel Pudil: Feature selection toolbox. Pattern Recognition 35:12 (2002), 2749-2759. Elsevier. Download |
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89. Miroslav Kárný, Ivan Nagy, Jana Novovičová: Mixed-data multi-modelling for fault detection and isolation. International Journal of Adaptive Control and Signal Processing 16:1 (2002), 61-83. Wiley. Download |
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90. Jiří Grim, J. Kittler, Pavel Pudil, Petr Somol: Multiple classifier fusion in probabilistic neural networks. Pattern Analysis and Applications 5:7 (2002), 221-233. |
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91. Michal Haindl, Vojtěch Havlíček: Colour texture modelling. ERCIM News, 23-24. European Research Consortium for Informatics and Mathematics. |
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92. Michal Haindl, P. Slavík: Image-based acquisition of virtual gallery model. ERCIM News, 15. European Research Consortium for Informatics and Mathematics. |
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93. Pavel Pudil, Michal Haindl: Czech Pattern Recognition Society. IAPR Newsletter 23:3 (2001), 4-5. |
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94. Michal Haindl, J. Kittler: Autonomous acquisition of virtual reality models from real world scenes. Cultivate Interactive, 30-38. Download |
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95. Pavel Paclík, Jana Novovičová, Pavel Pudil, Petr Somol: Road sing classification using Laplace kernel classifier. Pattern Recognition Letters 21, 1165-1173. Elsevier. |
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96. Jiří Grim: Self-organizing maps and probabilistic neural networks. Neural Network World 10:3 (2000), 407-415. Ústav informatiky AV ČR, v. v. i.. |
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97. K. Fuka, Pavel Pudil: Objektová analýza a návrh systému pro podporu rozhodování. Výsledky a zhodnocení. Acta Oeconomica Pragensia 8:2 (2000), 60-70. |
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98. Jiří Grim, Pavel Pudil, Petr Somol: Probabilistic information retrieval from census data based on distribution mixtures. Acta Oeconomica Pragensia 8:2 (2000), 41-47. |
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99. Pavel Pudil, Jana Novovičová, Petr Somol: Znalostní přístup k výběru nejinformativnějších proměnných pro rozhodovací problémy klasifikačního typu. Acta Oeconomica Pragensia 8:2 (2000), 11-24. |
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100. Petr Somol, Pavel Pudil: Oscilační algoritmy pro vyhledávání příznaků. Acta Oeconomica Pragensia 8:2 (2000), 25-32. |
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101. Pavel Pudil, P. Pirožek, Petr Somol: Výběr nejinformativnějších faktorů při akvizici podniků pomocí metod rozpoznávání obrazů. Acta Oeconomica Pragensia 8:2 (2000), 143-159. |
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102. Petr Somol, Pavel Pudil: Branch & Bound algoritmus s částečným řazením uzlů výpočetního stromu. Acta Oeconomica Pragensia 8:2 (2000), 33-40. |
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103. Jiří Grim, J. Vejvalková: An iterative inference mechanism for the probabilistic expert system PES. International Journal of General Systems 27, 373-396. Taylor & Francis. |
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104. Petr Somol, Pavel Pudil, Jana Novovičová, Pavel Paclík: Adaptive floating search methods in feature selection. Pattern Recognition Letters 20, 1157-1163. Elsevier. Download |
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105. Michal Haindl, Stanislava Šimberová: A scratch removal method. Kybernetika 34:4 (1998), 423-428. Ústav teorie informace a automatizace AV ČR, v. v. i.. |
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106. Pavel Pudil, Jana Novovičová, Petr Somol, Radislav Vrňata: Conceptual base of feature selection consulting system. Kybernetika 34:4 (1998), 451-460. Ústav teorie informace a automatizace AV ČR, v. v. i.. |
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107. Pavel Pudil, Jana Novovičová: Novel methods for subset selection with respect to problem knowledge. IEEE Intelligent Systems 13:2 (1998), 66-74. |
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108. Igor Vajda, Jiří Grim: About the maximum information and maximum likelihood principles in neural networks. Kybernetika 34:4 (1998), 485-494. Ústav teorie informace a automatizace AV ČR, v. v. i.. |
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109. Pavel Pudil, M. Paterson: Improving the quality of decision-making in health care management: A project report from the Nevada/Bohemia health management education partnership. Journal of Health Administration Education 16:2 (1998), 255-262. |
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110. Jiří Grim: Mixture of experts architectures for neural networks as a special case of conditional expectation formula. Kybernetika 34:4 (1998), 417-422. Ústav teorie informace a automatizace AV ČR, v. v. i.. |
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112. Pavel Pudil, Michal Haindl: Statistical techniques in pattern recognition. ERCIM News, 57. European Research Consortium for Informatics and Mathematics. |
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113. P. Andris, J. P. Costeira, K. Dobrovodský, Michal Haindl, J. Kittler, P. Kurdel, J. Santos-Victor, A. J. Stoddart: VIRTUOUS. ERCIM News, 25. European Research Consortium for Informatics and Mathematics. |
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114. Z. Říhová, Pavel Pudil: Šíření a využívání informací z hlediska participativního rozhodování. Acta Oeconomica Pragensia 5:1 (1997), 93-101. |
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115. Jana Novovičová, Pavel Pudil, J. Kittler: Divergence based feature selection for multimodal class densities. IEEE Transactions on Pattern Analysis and Machine Intelligence 18:1 (1996), 218-223. IEEE Computer Society. |
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116. Michal Haindl, Stanislava Šimberová: A high - resolution radiospectrograph image reconstruction method. . Astronomy and Astrophysics Supplement Series 115, 189-193. |
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118. Michal Haindl: A new multimedia synchronization model. IEEE Journal on Selected Areas in Communications 14:1 (1996), 73-83. |
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120. Pavel Pudil, Jana Novovičová, N. Choakjarernwanit, J. Kittler: Feature selection based on the approximation of class densities by finite mixtures of special type. Pattern Recognition 28:9 (1995), 1389-1398. Elsevier. |
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121. Michal Haindl, M. M. de Ruiter: The MADE help system. Computer Graphics Forum 14:3 (1995), 149-157. Wiley. |
Conference papers (262)
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1. Stanislav Mikeš, Michal Haindl: Optimal Activation Function for Anisotropic BRDF Modeling. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP, 162-169. SciTePress, Lisbon 2023. Download |
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2. Michal Haindl, Vojtěch Havlíček: BRDF Anisotropy Criterion. Intelligent Information and Database Systems, 434-444. Springer Nature, Cham 2022. Download |
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3. Jiří Filip, Martina Kolafová, Radomír Vávra: Perceived Effects of Reflective Translucency in 3D Printing Filaments. 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 289-295. IEEE, Piscataway 2022. Download |
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4. Pavel Vácha, Michal Haindl: Textural Features Sensitivity to Scale and Illumination Variations. Advances in Computational Collective Intelligence : 14th International Conference, ICCCI 2022, 237-249. Springer International Publishing, Cham 2022. Download |
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5. Michal Haindl, Pavel Žid: Melanoma Recognition. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 722-729. Scitepress - Science and Technology Publications, Lda, Setúbal 2022. Download |
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6. Michal Havlíček, Michal Haindl: Optimized Texture Spectral Similarity Criteria. Advances in Computational Collective Intelligence, 644-655. Springer International Publishing, Cham 2021. Download |
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7. A. Moudrá, Michal Haindl: Underground Archeological Structures Detection. Advances in Computational Collective Intelligence, 690-702. Springer International Publishing, Cham 2021. Download |
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8. Michal Haindl, Vojtěch Havlíček: 3D Multi-frequency Fully Correlated Causal Random Field Texture Model. Pattern Recognition, 423-434. Springer International Publishing, Cham 2020. Download |
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9. Michal Haindl, Vojtěch Havlíček: Transfer Learning of Mixture Texture Models. Computational Collective Intelligence, 825-837. Springer Nature Switzerland AG, Cham 2020. Download |
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10. T. Komárek, Petr Somol: Multiple Instance Learning with Bag-Level Randomized Trees. Machine Learning and Knowledge Discovery in Databases, 259-272. Springer International Publishing, Cham 2019. Download |
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11. Jiří Filip, Martina Kolafová, Radomír Vávra: A Psychophysical Analysis of Fabricated Anisotropic Appearance. Pacific Graphics Short Papers, 15-20. The Eurographics Association, Geneve 2019. Download |
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12. Jiří Filip, Radomír Vávra, F. J. Maile, B. Eibon: Image-based discrimination and spatial non-uniformity analysis of effect coatings. Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019), 683-690. SCITEPRESS – Science and Technology Publications, Lda., Setúbal 2019. Download |
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13. Jiří Filip, Martina Kolafová: On Visual Attractiveness of Anisotropic Effect Coatings. Proceedings of the 7th Workshop on Material Appearance Modeling. The Eurographics Association, Geneve 2019. Download |
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14. Michal Haindl, Michal Havlíček: Mutual Information-Based Texture Spectral Similarity Criterion. Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019), 302-314. Springer, Cham 2019. Download |
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15. Stanislav Mikeš, Michal Haindl: View Dependent Surface Material Recognition. Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019), 156-167. Springer, Cham 2019. Download |
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16. Jiří Filip, Martina Kolafová, Radomír Vávra: Perceived Effects of Static and Dynamic Sparkle in Captured Effect Coatings. The 15th International Conference on Signal Image Technology & Internet Based Systems, SITIS 2019, 732-737. IEEE, Piscataway 2019. Download |
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17. Michal Haindl, Pavel Žid: Coniferous Trees Needles-Based Taxonomy Classification. International Conference on Image and Vision Computing New Zealand 2019 (IVCNZ 2019), 1-6. IEEE, Piscataway 2019. Download |
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18. Radek Richtr, Michal Haindl: Dynamic Texture Similarity Criterion. The 24th International Conference on Pattern Recognition (ICPR 2018), 904-909. IEEE, New York 2018. Download |
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19. Michal Haindl, Vojtěch Havlíček: BTF Compound Texture Model with Non-Parametric Control Field. The 24th International Conference on Pattern Recognition (ICPR 2018), 1151-1156. IEEE, New York 2018. Download |
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20. Václav Remeš, Michal Haindl: Rotationally Invariant Bark Recognition. Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, 22-31. Springer Nature Switzerland AG, Cham 2018. Download |
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21. Jiří Filip, Martina Kolafová: Perception of Car Shape Orientation and Anisotropy Alignment. EG MAM 2018: Eurographics 2018 Workshop on Material Appearance Modeling. The Eurographics Association, Goslar 2018. Download |
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22. Jiří Filip, F. J. Maile: In the search of an ideal measurement geometry for effect coatings. Proceedings of Pigment and Colour Science Forum 2018. SMITHER Rapra, Shrewsbury 2018. Download |
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23. Jiří Filip, Martina Kolafová: Effects of Surface Anisotropy on Perception of Car Body Attractiveness. Pacific Graphics Short Papers, 17-20. The Eurographics Association, Geneve 2018. Download |
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24. Miloš Kudělka, Michal Haindl: Multispectral Texture Fidelity Measure. SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 658-663. IEEE Computer Society CPS, Los Alamitos 2018. Download |
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25. M. Flusser, T. Pevný, Petr Somol: Density-Approximating Neural Network Models for Anomaly Detection. ACM SIGKDD 2018 Workshop, 1-8. ACM, New York 2018. Download |
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26. Michal Haindl, Vojtěch Havlíček: BTF Compound Texture Model with Fast Iterative Non-Parametric Control Field Synthesis. SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 98-105. IEEE Computer Society CPS, Los Alamitos 2018. Download |
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27. Michal Haindl, Vojtěch Havlíček: Two Compound Random Field Texture Models. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, 44-51. Springer International Publishing, Cham 2017. Download |
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28. Matěj Sedláček, Michal Haindl, D. Formanová: An Automatic Tortoise Specimen Recognition. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, 52-59. Springer International Publishing, Cham 2017. Download |
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29. Michal Haindl, Michal Havlíček: A Compound Moving Average Bidirectional Texture Function Model. Multimedia and Network Information Systems, 89-98. Springer Internatiion Publishing, Switzerland 2017. Download |
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30. Michal Haindl, Pavel Vácha: Scale Sensitivity of Textural Features. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, 84-92. Springer International Publishing, Cham 2017. Download |
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31. Jiří Filip, F. J. Maile: Appearance Acquisition and Analysis of Effect Coatings. Proceedings of Pigment and Colour Science Forum 2017. SMITHERS Rapra, Shrewsbury 2017. Download |
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32. Radomír Vávra, Jiří Filip: Adaptive Measurement of Anisotropic Material Appearance. Pacific Graphics Short Papers, 1-6. The Eurographics Association, Goslar 2017. Download |
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33. Jiří Filip, Radomír Vávra, F. J. Maile: BRDF Measurement of Highly-Specular Materials using a Goniometer. Proceedings of the 33rd Spring Conference on Computer Graphics. ACM, New York 2017. Download |
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34. T. Komárek, Petr Somol: End-node Fingerprinting for Malware Detection on HTTPS Data. Proceedings of the 12th International Conference on Availability, Reliability and Security (ARES'17), 1-7. ACM, New York 2017. Download |
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35. Jiří Filip, Radomír Vávra, Michal Haindl: Capturing Material Visualization Data using Goniometers. Proceedings of the 4th CIE Expert Symposium on Colour and Visual Appearance, 121-127. Commission Internationale de L'Eclairage CIE Central Bureau, Vienna 2016. Download |
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36. Jiří Filip, Radomír Vávra: Using Reflectors for Analysis and Acquisition of Anisotropic BRDF. Proceedings of the 4th CIE Expert Symposium on Colour and Visual Appearance, 155-162. Commission Internationale de L'Eclairage CIE Central Bureau, Vienna 2016. Download |
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37. Michal Havlíček, Michal Haindl: Texture spectral similarity criteria. Proceedings of the 4th CIE Expert Symposium on Colour and Visual Appearance, 147-154. Commission Internationale de L'Eclairage CIE Central Bureau, Vienna 2016. Download |
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38. Jiří Filip: Analyzing and Predicting Anisotropic Effects of BRDFs. Proceedings of the ACM SIGGRAPH Symposium on Applied Perception, 25-32. ACM, New York 2016. Download |
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39. Jiří Filip, V. Havran, K. Myszkowski: Gaze Analysis of BRDF Distortions. Workshop on Material Appearance Modeling. The Eurographics Association, Geneve 2016. Download |
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40. Radomír Vávra, Jiří Filip: BRDF Interpolation using Anisotropic Stencils. IS&T International Symposium on Electronic Imaging 2016. Society for Imaging Science and Technology, Springfield 2016. Download |
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41. Jiří Grim, P. Pudil: Mixtures of Product Components versus Mixtures of Dependence Trees. Computational Intelligence, 365-382. Springer, Cham 2016. Download |
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42. Michal Haindl, Matěj Sedláček: Virtual reconstruction of cultural heritage artifacts. 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), 1-5. IEEE, USA 2016. Download |
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43. Petr Somol, T. Pevný: Discriminative Models for Multi-instance Problems with Tree Structure. Proceedings of the 9th ACM Workshop on Artificial Intelligence and Security 2016. ACM, New York 2016. Download |
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44. M. Kudo, K. Kimura, Michal Haindl, H. Tenmoto: Simultaneous Visualization of Samples, Features and Multi-Labels. Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), 3592-3597. IEEE, Piscataway 2016. Download |
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45. T. Pevný, Petr Somol: Discriminative models for multi-instance problems with tree-structure. Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security (AISec'16), 83-91. ACM, New York 2016. Download |
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46. Michal Haindl, Vojtěch Havlíček: Three-dimensional Gaussian Mixture Texture Model. Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), 2026-2031. IEEE, Piscataway 2016. Download |
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47. Jiří Grim: Feasibility Study of an Interactive Medical Diagnostic Wikipedia. SPMS 2016 Stochastic and Physical Monitoring Systems, 31-45. Czech Technical University, Prague 2016. Download |
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48. Miloš Kudělka, Michal Haindl: Texture fidelity criterion. Proceedings of the 2016 IEEE International Conference on Image Processing. IEEE, Piscataway 2016. Download |
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49. Michal Haindl, Pavel Vácha: Wood Veneer Species Recognition using Markovian Textural Features. Computer Analysis of Images and Patterns - CAIP 2015, 300-311. Springer International Publishing, Switzerland 2015. Download |
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50. Jiří Filip, Michal Havlíček: Adaptive Highlights Stencils for Modeling of Multi-Axial BRDF Anisotropy. Proceedings of Computer Graphics International 2015. ICube Université de Strasbourg, CNRS, France, Strasbourgh, Francie 2015. Download |
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51. Michal Haindl, Václav Remeš, Vojtěch Havlíček: BTF Potts compound texture model. Measuring, Modeling, and Reproducing Material Appearance 2015. SPIE-IS&T, Bellingham 2015. Download |
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52. Michal Haindl, Stanislav Mikeš, M. Kudo: Unsupervised Surface Reflectance Field Multi-segmenter. Computer Analysis of Images and Patterns - CAIP 2015, 261-273. Springer International Publishing, Switzerland 2015. Download |
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53. Jiří Filip, Radomír Vávra: Anisotropic Materials Appearance Analysis using Ellipsoidal Mirror. Measuring, Modeling, and Reproducing Material Appearance 2015. SPIE-IS&T, Bellingham 2015. Download |
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54. Michal Haindl, Vojtěch Havlíček: Color Texture Restoration. IEEE 7th International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM), 13-18. IEEE, 445 Hoes Lane, Piscataway, NJ 08854, USA 2015. Download |
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55. Zdeněk Wagner, Pavel Kovanic: Advanced Data Analysis for Industrial Applications. Abstracts Book, 5. -, - 2015. |
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56. Jiří Filip, Petr Somol: Materials Classification using Sparse Gray-Scale Bidirectional Reflectance Measurements. Computer Analysis of Images and Patterns - CAIP 2015, 289-299. Springer International Publishing, Switzerland 2015. Download |
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57. Michal Havlíček: Extended Bidirectional Texture Function Moving Average Model. Doktorandské dny 2015, 1-7. České vysoké učení technické v Praze, Praha 2015. Download |
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58. V. Létal, T. Pevný, Václav Šmídl, Petr Somol: Finding New Malicious Domains Using Variational Bayes on Large-Scale Computer Network Data. NIPS Workshop: Advances in Approximate Bayesian Inference, 1-10. NIPS, Montréal, Canada 2015. Download |
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59. Václav Remeš, Michal Haindl: Classification of breast density in X-ray mammography. 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 1-5. IEEE, New York, NY, 2015. Download |
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60. Radek Richtr, Michal Haindl: Dynamic Texture Editing. Proceedings of the 31st Spring Conference on Computer Graphics, 133-140. ACM, New York, NY, USA 2015. Download |
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61. Jiří Grim, P. Pudil: Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees. NCTA2014 - International Conference on Neural Computation Theory and Applications, 65-75. SCITEPRESS, Rome 2014. Download |
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62. Michal Haindl, Stanislav Mikeš: Unsupervised Image Segmentation Contest. Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), 1484-1489. IEEE Computer Society, Stockholm 2014. Download |
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63. Michal Haindl, Mikuláš Krupička: Accurate Detection of Non-Iris Occlusions. Proceedings of the Tenth International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2014, 49-56. IEEE Computer Society CPS, Los Alamitos, USA 2014. Download |
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64. Jiří Filip, Radomír Vávra, Michal Havlíček: Effective Acquisition of Dense Anisotropic BRDF. Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), 2047-2052. IEEE Computer Society, Stockholm 2014. Download |
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65. Jiří Grim: Approximating Probability Densities by Mixtures of Gaussian Dependence Trees. Stochastic and Physical Monitoring Systems, SPMS 2014. ČVUT, Praha 2014. Download |
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66. Michal Havlíček, Michal Haindl, Jiří Filip: Dynamic Textures Modeling Using Temporal Mixing Coefficients Reduction. 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). IEEE Computer Society CPS, Los Alamitos, USA 2014. Download |
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67. Michal Havlíček: Dynamic Texture Modelling and Editing Using Temporal Mixing Coefficients Reduction. Doktorandské dny, 7-16. FJFI ČVUT, Praha 2014. Download |
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68. Michal Haindl, Miloš Kudělka: Texture Fidelity Benchmark. 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). IEEE Computer Society CPS, Los Alamitos, USA 2014. Download |
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69. Michal Haindl, Václav Remeš: Adaptive Model-Based Mammogram Enhancement. Proceedings of the Tenth International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2014, 65-72. IEEE Computer Society CPS, Los Alamitos, USA 2014. Download |
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70. Michal Haindl, Stanislav Mikeš: Unsupervised Dynamic Textures Segmentation. Computer Analysis of Images and Patterns, 433-440. Springer, Heidelberg 2013. Download |
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71. Jiří Filip, Radomír Vávra, Michal Haindl, Pavel Žid, Mikuláš Krupička, V. Havran: BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition. Proceedings of the 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1468-1473. IEEE Computer Society Conference Publishing Services, New York 2013. Download |
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72. P. Pudil, L. Blažek, O. Částek, P. Somol, Jiří Grim: Identification of Corporate Competitiveness Factors – Comparing Different Approaches. Proceedings of the International Conference on Management, Leadership and Governance 2013, 259-267. Academic Conferences and Publishing International Limited, Reading 2013. Download |
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73. Michal Haindl, Mikuláš Krupička: Non-Iris Occlusions Detection. Biometrics: Theory, Applications and Systems (BTAS), 2013, 1-6. IEEE, Piscataway 2013. Download |
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74. Radomír Vávra, Jiří Filip: Registration of Multi-view Images of Planar Surfaces. 11th Asian Conference on Computer Vision ACCV, Revised Selected Papers, 497-509. Springer Berlin Heidelberg, Berlin 2013. Download |
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75. Michal Havlíček, Michal Haindl: A Moving Average Bidirectional Texture Function Model. Computer Analysis of Images and Patterns, 338-345. Springer, Heidelberg 2013. Download |
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76. Petr Somol, Jiří Grim, Jiří Filip, P. Pudil: On Stopping Rules in Dependency-Aware Feature Ranking. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 286-293. Springer, Heidelberg 2013. Download |
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77. Michal Havlíček: Dynamic Textures Modelling with Temporal Mixing Coefficients Approximation. Doktorandské dny 2013, 41-48. ČVUT, Praha 2013. Download |
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78. Jiří Filip, Jiří Grim, Michal Haindl: A Probabilistic Approach to Rough Texture Compression and Rendering. MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding, 8-12. Bilkent University, Antalya, Turkey 2013. Download |
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79. Michal Haindl, Radek Richtr: Dynamic Texture Enlargement. Proceedings of the 29th Spring conference on Computer Graphics (SCCG), 13-20. ACM, Comenius University, Bratislava 2013. Download |
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80. Michal Haindl, Václav Remeš: Efficient Textural Model-Based Mammogram Enhancement. 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), 522-523. IEEE, Piscataway 2013. Download |
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81. Michal Haindl, Michal Havlíček: Bidirectional Texture Function Simultaneous Autoregressive Model. Computational Intelligence for Multimedia Understanding, 149-159. Springer, Berlin 2012. Download |
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82. Jiří Grim, G. L. Lee: Evaluation of Screening Mammograms by Local Structural Mixture Models. Stochastic and Physical Monitoring Systems SPSM 2012, 51-61. Czech Technical University in Prague, Praha 2012. Download |
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83. Pavel Vácha, Michal Haindl: Texture Recognition using Robust Markovian Features. Computational Intelligence for Multimedia Understanding, 126-137. Springer, Berlin 2012. Download |
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84. Michal Haindl, Vojtěch Havlíček: A Plausible Texture Enlargement and Editing Compound Markovian Model. Computational Intelligence for Multimedia Understanding, 138-148. Springer, Berlin 2012. Download |
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85. Jiří Filip: Restoring Illumination and View Dependent Data from Sparse Samples. Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 1391-1394. IEEE Press, Piscataway 2012. Download |
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86. Jiří Filip, Michal Haindl: User Study of Viewing and Illumination Dependent Material Appearance. Predicting Perceptions: Proceedings of the 3rd International Conference on Appearance, 34-38. Lulu Press, Edinburgh UK 2012. Download |
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87. Jiří Filip, Pavel Vácha, Michal Haindl: Analysis of Human Gaze Interactions with Texture and Shape. Computational Intelligence for Multimedia Understanding, 160-171. Springer, Berlin 2012. Download |
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88. Michal Havlíček: Bidirectional Texture Function Three Dimensional Pseudo Gaussian Markov Random Field Model. Doktorandské dny 2012, 53-62. ČVUT v Praze, Praha 2012. Download |
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89. Stanislav Mikeš, Michal Haindl, G. Scarpa: Remote Sensing Segmentation Benchmark. 2012 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), 1-4. IEEE Press, Piscataway, NJ 2012. Download |
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90. S. Zehnalova, Miloš Kudělka, M. Kudělka, V. Snášel: Comparing Two Local Methods for Community Detection in Social Networks. Proceedings of the 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN), 1-6. IEEE, Piscataway 2012. Download |
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91. Jiří Filip, Michal Haindl, J. Stančík: Predicting Environment Illumination Effects on Material Appearance. Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 2075-2078. IEEE Press, Piscataway 2012. Download |
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92. Miloš Kudělka: Image Quality Assessment. WDS'12 Proceedings of Contributed Papers, 94-99. MATFYZPRESS, Praha 2012. Download |
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93. Stanislava Šimberová, Michal Haindl, Filip Šroubek: Fine Structure Recognition in Multichannel Observations. International Conference on Digital Image Computing Techniques and Applications (DICTA) 2012, 1-7. IEEE Press, Piscataway 2012. Download |
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94. Michal Haindl, Václav Remeš, Vojtěch Havlíček: Potts Compound Markovian Texture Model. Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 29-32. IEEE Press, Piscataway 2012. Download |
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95. Petr Somol, Jiří Grim, P. Pudil: Fast Dependency-Aware Feature Selection in Very-High-Dimensional Pattern Recognition. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2011), 502-509. IEEE, Piscataway 2011. Download |
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96. Jiří Grim: Preprocessing of Screening Mammograms Based on Local Statistical Models. Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011, 1-5. ACM, Barcelona 2011. Download |
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97. Václav Kratochvíl, H. Kružík, P. Tůma, Jiří Vomlel, Petr Somol: Predikce hospitalizační mortality u akutního infarktu myokardu. Sborník příspěvků MEDSODFT 2011, 128-138. Creative Connections, s.r.o, Praha 2011. Download |
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99. Michal Haindl, Jiří Filip: Advanced textural representation of materials appearance. Proceedings of SA '11 SIGGRAPH Asia 2011 Courses, 1-84. ACM, New York 2011. Download |
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100. Martin Hatka, Michal Haindl: BTF Rendering in Blender. Proceedings of VRCAI 2011: ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications to Industry, 265-272. The Association for Computing Machinery, Inc, New York, USA 2011. Download |
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101. Jiří Filip, Pavel Vácha, Michal Haindl, P.R. Green: A Psychophysical Evaluation of Texture Degradation Descriptors. Structural, Syntactic, and Statistical Pattern Recognition, 423-433. Springer Berlin / Heidelberg, Berlin / Heidelberg 2010. Download |
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102. Pavel Vácha, Michal Haindl: Content-Based Tile Retrieval System. Structural, Syntactic, and Statistical Pattern Recognition, 434-443. Springer Berlin / Heidelberg, Berlin / Heidelberg 2010. Download |
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103. Michal Haindl, Vojtěch Havlíček, Jiří Grim: Colour Texture Representation Based on Multivariate Bernoulli Mixtures. 10th International Conference on Information Sciences, Signal Processing and their Applications, 578-581. IEEE, Los Alamitos 2010. Download |
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104. Petr Somol, Jana Novovičová, Pavel Pudil: Improving Sequential Feature Selection Methods Performance by Means of Hybridization. Proc. 6th IASTED Int. Conf. on Advances in Computer Science and Engineering. ACTA Press, Calgary 2010. Download |
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105. Jiří Filip, Michal Haindl, M.J. Chantler: Gaze-Motivated Compression of Illumination and View Dependent Textures. 20th International Conference on Pattern Recognition, 862-865. IEEE Computer Society CPS, Los Alamitos 2010. Download |
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106. Michal Haindl, Pavel Žid, Radek Holub: Range Video Segmentation. 10th International Conference on Information Sciences, Signal Processing and their Applications, 369-372. IEEE, Los Alamitos 2010. Download |
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107. Pavel Vácha, Michal Haindl: Natural Material Recognition with Illumination Invariant Textural Features. 20th International Conference on Pattern Recognition, 858-861. IEEE Computer Society CPS, Los Alamitos 2010. Download |
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108. Jiří Grim, Petr Somol, Pavel Pudil: Digital Image Forgery Detection by Local Statistical Models. 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 579-582. IEEE computer society, Los Alamitos, California 2010. Download |
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109. Jiří Grim, Jan Hora: Computational Properties of Probabilistic Neural Networks. Artificial Neural Networks – ICANN 2010, 31-40. Springer Verlag, Berlin Heidelberg 2010. Download |
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110. Stanislava Šimberová, Michal Haindl, Jan Flusser: Mathematics improves astronomical image understanding. Mathematics and Astronomy: A joint Long Journey, 215-221. American Institute of Physics, Melville 2010. |
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111. Petr Somol, Jiří Grim, Pavel Pudil: The Problem of Fragile Feature Subset Preference in Feature Selection Methods and A Proposal of Algorithmic Workaround. Proc. 2010 Int. Conf. on Pattern Recognition, 4396-4399. IEEE Computer Society, Istanbul 2010. Download |
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112. Michal Haindl, Martin Hatka: Near-Regular BTF Texture Model. 20th International Conference on Pattern Recognition, 2114-2117. IEEE Computer Society CPS, Los Alamitos 2010. Download |
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113. Michal Haindl, Vojtěch Havlíček: A Compound MRF Texture Model. 20th International Conference on Pattern Recognition, 1792-1795. IEEE Computer Society CPS, Los Alamitos 2010. Download |
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114. Michal Haindl, Martin Hatka: Near-Regular Texture Synthesis. Computer Analysis of Images and Patterns, 1138-1145. Springer, Heidelberg 2009. Download |
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115. Michal Haindl, Vojtěch Havlíček: Texture Editing Using Frequency Swap Strategy. Computer Analysis of Images and Patterns, 1146-1153. Springer, Heidelberg 2009. Download |
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116. Michal Haindl, Stanislav Mikeš, Pavel Pudil: Unsupervised Hierarchical Weighted Multi-Segmenter. Multiple Classifier Systems, LNCS 5519, 272-282. Springer, Berlin Heidelberg 2009. Download |
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117. Michal Haindl, Martin Hatka: Generalized Roller. Proceedings of the 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2009, 73-80. UNION Agency, Plzeň 2009. Download |
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118. Jiří Grim, Jan Hora: Recognition of Properties by Probabilistic Neural Networks. Artificial Neural Networks - ICANN 2009, 165-174. Springer Verlag, Berlin, Heidelberg 2009. Download |
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119. Petr Somol, Jiří Grim, Pavel Pudil: Criteria Ensembles in Feature Selection. Multiple Classifier Systems, LNCS 5519, 304-313. Springer, Berlin Heidelberg 2009. |
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120. Petr Somol, Jana Novovičová, Pavel Pudil: On the Over-Fitting Problem of Complex Feature Selection Methods. Proc. 5th International Computer Engineering Conference - A better Information Society Through the e@, 12-17. Cairo University, Káhira 2009. Download |
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121. Pavel Vácha, Michal Haindl: Illumination Invariant and Rotational Insensitive Textural Representation. Proceedings of the 16th International Conference on Image Processing, ICIP 2009, 1333-1336. IEEE, Los Alamitos 2009. Download |
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122. Jana Novovičová, Petr Somol, Pavel Pudil: A New Measure of Feature Selection Algorithms’ Stability. ICDMW '09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops, 382-387. IEEE Computer Society, Washington, DC, USA 2009. |
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123. R. Kolář, Pavel Vácha: Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields. World Congress on Medical Physics and Biomedical Engineering, 247-250. Springer, Heidelberg 2009. Download |
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124. Jan Hora: Problem of Missing Data in Census - Who Are the Non-Response Respondents?. Statistics - Investment in the future 2, 1-15. Prague University of Economics, Prague 2009. Download |
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125. Michal Haindl, Stanislav Mikeš, Pavel Vácha: Illumination Invariant Unsupervised Segmenter. Proceedings of the 16th International Conference on Image Processing, ICIP 2009, 4025-4028. IEEE, Los Alamitos 2009. Download |
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126. N. Vretos, V. Solachidis, Petr Somol, I. Pitas: Facial expression recognition using angle-related information from facial meshes. Proc. 16th European Signal Processing Conference (EUSIPCO- 2008), 1-5. EURASIP, Lausanne, Switzerland 2008. Download |
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127. Jiří Grim, Petr Somol, Pavel Pudil, I. Míková, M. Malec: Texture Oriented Image Inpainting based on Local Statistical Model. Proc. 10th IASTED Conf. on Signal & Image Processing, SIP 2008, 15-20. ACTA Press, Calgary 2008. Download |
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128. Stanislav Mikeš, Michal Haindl, Radek Holub: Navigation in Virtual Environment. 2nd International Conference EVA, 111-118. Austrian Computer Society, Vienna 2008. Download |
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129. Petr Somol, Jana Novovičová, Pavel Pudil: Are Better Feature Selection Methods Actually Better? Discussion, Reasoning and Examples. Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2008, 246-253. INSTICC Press, Madeira 2008. Download |
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130. Jiří Grim: Extraction of Binary Features by Probabilistic Neural Networks. Artificial Neural Networks - ICANN 2008, 52-61. Springer, Berlin 2008. |
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131. J. Filip, M.J. Chantler, Michal Haindl: On Optimal Resampling of View and Illumination Dependent Textures. Fifth Symposium on Applied Perception in Graphics and Visualization, 131-134. ACM, Los Angeles, USA 2008. Download |
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132. Jiří Grim, Jana Novovičová, Petr Somol: Structural Poisson Mixtures for Classification of Documents. Proceedings of the 19th International Conference on Pattern Recognition, 1324-1327. IEEE Press, Los Alamitos 2008. Download |
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133. P. Paclík, C. Lai, Jana Novovičová, R.P.W. Duin: Variance estimation for two-class and multi-class ROC analysis using operating point averaging. Proceedings on the 19th International Conference on Pattern Recognition, 1-4. IEEE, Tampa 2008. Download |
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134. Petr Somol, Jana Novovičová, Jiří Grim, Pavel Pudil: Dynamic Oscillating Search Algorithm for Feature Selection. ICPR 2008 Proceedings (Int. Conf. on Pattern Recognition), 2308-2311. IEEE Computer Society, Tampa, Florida 2008. Download |
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135. Jiří Filip, Michal Haindl: Fast and Reliable PCA-Based Temporal Segmentation of Video Sequences. Proceedings of the 19th International Conference on Pattern Recognition, 1-4. IEEE Press, Los Alamitos 2008. Download |
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136. Michal Haindl, Stanislav Mikeš: Texture Segmentation Benchmark. Proceedings of the 19th International Conference on Pattern Recognition, 2933-2936. IEEE Press, Los Alamitos 2008. Download |
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137. Pavel Vácha, Michal Haindl: Illumination Invariants Based on Markov Random Fields. Proceedings of the 19th International Conference on Pattern Recognition, 3588-3591. IEEE Press, Los Alamitos 2008. Download |
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138. Michal Haindl, Stanislav Mikeš: Unsupervised Mammograms Segmentation. Proceedings of the 19th International Conference on Pattern Recognition, 676-679. IEEE Press, Los Alamitos 2008. Download |
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139. Pavel Pudil, Petr Somol, R. Střítecký: Methodology of selecting the most informative variables for decision-making problems of classification type. Proceedings 6th Int. Conf. on Information and Management Sciences, 1-18. California Polytechnic State University, USA, Lhasa, Tibet, China 2007. Download |
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140. Michal Haindl, Stanislava Šimberová: Probabilistic suppression of astronomical image degradations. Modern solar facilities - advanced solar science, 127-130. Universitätsverlag Göttingen, Göttingen 2007. Download |
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141. G. Scarpa, Michal Haindl, J. Zerubia: A Hierarchical Finite-State Model for Texture Segmentation. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'07) /32./, 1209-1212. IEEE, Los Alamos 2007. |
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142. Michal Haindl, Stanislava Šimberová: Validation of Classical and Blind Criteria for Image Quality Evaluation. Proceedings of the Ninth IASTED International Conference on Signal and Image Processing, 218-223. ACTA Press, Anaheim 2007. |
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143. Pavel Vácha, Michal Haindl: Demonstration of image retrieval based on illumination invariant textural MRF features. CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval, 135-137. ACM Press, New York 2007. Download |
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144. Pavel Vácha, Michal Haindl: Image retrieval measures based on illumination invariant textural MRF features. CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval, 448-454. ACM Press, New York 2007. Download |
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145. Martin Hatka: Syntéza periodicko-stochastických textur. Doktorandské dny 2007, 39-48. Česká technika ČVUT, Praha 2007. |
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146. Jan Hora: Informational Cathegorical Data Clustering. Doktorandské dny 2007, 57-66. Česká technika ČVUT, Praha 2007. |
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147. Jiří Grim, Jan Hora: Recurrent Bayesian Reasoning in Probabilistic Neural Networks. Artificial Neural Networks - ICANN 2007, 129-138. Springer, Berlin 2007. |
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148. Michal Haindl, Stanislav Mikeš: Unsupervised Texture Segmentation Using Multispectral Modelling Approach. Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, 203-206. IEEEPress, Piscataway 2006. Download |
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149. Michal Haindl, G. Scarpa: Unsupervised Texture Segmentation by Spectral-Spatial-Independent. Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, 151-154. IEEEPress, Piscataway 2006. Download |
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150. Michal Haindl, Pavel Žid: Multimodal Range Image Segmentation by Curve Grouping. Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, 9-12. IEEE Press, Piscataway 2006. Download |
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151. Michal Haindl, Pavel Vácha: Illumination Invariant Texture Retrieval. Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, 276-279. IEEEPress, Piscataway 2006. Download |
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152. Jiří Filip, Michal Haindl, D. Chetverikov: Fast Synthesis of Dynamic Colour Textures. Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, 25-28. IEEEPress, Piscataway 2006. Download |
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153. Petr Somol, Pavel Pudil: Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms. Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, 736-739. IEEEPress, Piscataway 2006. Download |
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154. Michal Haindl, Pavel Pudil, Petr Somol: Pattern Recognition Based on Multidimensional Models. MATEO - The European Network of Mechatronics Centres and Industrial Controllers 2006, 80-86. West Bohemian University, Pilsen, Plzeň 2006. |
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155. P. Paclík, Jana Novovičová, R.P.W. Duin: A trainable similarity measure for image classification. Proceedings of the 18th Conference on Pattern Recognition. ICPR 2006, 391-394. IEEE, Los Alamitos 2006. |
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156. Pavel Pudil, Petr Somol, Michal Haindl: Introduction to Statistical Pattern Recognition. MATEO - The European Network of Mechatronics Centres and Industrial Controllers 2006, 163-170. West Bohemian University, Pilsen, Plzeň 2006. |
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157. Jiří Grim, Michal Haindl, Petr Somol, Pavel Pudil: A subspace approach to texture modelling by using Gaussian mixtures. Proceedings of the 18th Conference on Pattern Recognition. ICPR 2006, 235-238. IEEE, Los Alamitos 2006. |
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158. Petr Somol, Michal Haindl: Novel path search algorithm for image stitching and advanced texture tiling. WSCG'2005. 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005. Proceedings, 155-162. Západočeská univerzita, Plzeň 2005. Download |
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159. Michal Haindl, M. Hatka: A roller - fast sampling-based texture synthesis algorithm. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision. WSCG 2005. Proceedings, 80-83. University of West Bohemia, Plzen 2005. |
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160. Jiří Grim, Petr Somol, Michal Haindl, Pavel Pudil: A statistical approach to local evalution of a single texture image. Proceedings of the Sixtheenth Annual Symposium of the Pattern Recognition Association of South Africa, 171-176. University of Cape Town, Cape Town 2005. |
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161. Pavel Pudil, Petr Somol: Current feature selection techniques in pattern recognition. Advances in Soft Computing. . Proceedings of the 4th International Conference on Computer Recognition Systems, 53-68. Springer, Heidelberg 2005. |
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162. Pavel Pudil, Petr Somol: An overview of feature selection techniques in statistical pattern recognition. Proceedings of the Sixtheenth Annual Symposium of the Pattern Recognition Association of South Africa, 1-14. University of Cape Town, Cape Town 2005. |
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163. Jana Novovičová, Antonín Malík: Information-theoretic feature selection algorithms for text classification. Proceedings of the International Joint Conference on Neural Networks, 3272-3277. IEEE Computational Intelligence Society, Los Alamitos 2005. |
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164. Michal Haindl, M. Hatka: BTF Roller. Texture 2005. Proceedings of the 4th International Workshop on Texture Analysis, 89-94. IEEE, Los Alamitos 2005. |
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165. Jiří Filip, Michal Haindl: Efficient image-based Bidirectional Texture Function model. Texture 2005. Proceedings of the 4th International Workshop on Texture Analysis, 7-12. IEEE, Los Alamitos 2005. |
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166. Michal Haindl, Jiří Grim, Pavel Pudil, M. Kudo: A hybrid BTF model based on Gaussian mixtures. Texture 2005. Proceedings of the 4th International Workshop on Texture Analysis, 95-100. IEEE, Los Alamitos 2005. |
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167. Pavel Vácha: Texture similarity measure. WDS'05 Proceedings of Contributed Papers, 47-52. MATFYZPRESS, Praha 2005. |
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168. Michal Haindl, Jiří Filip, M. Arnold: BTF image space utmost compression and modelling method. Proceedings of the 17th IAPR International Conference on Pattern Recognition, 194-197. IEEE, Los Alamitos 2004. |
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169. Jiří Filip, Michal Haindl: Non-linear reflectance model for Bidirectional Texture Function synthesis. Proceedings of the 17th IAPR International Conference on Pattern Recognition, 80-83. IEEE, Los Alamitos 2004. |
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170. Michal Haindl, Jiří Grim, Petr Somol, Pavel Pudil, M. Kudo: A Gaussian mixture-based colour texture model. Proceedings of the 17th IAPR International Conference on Pattern Recognition, 177-180. IEEE, Los Alamitos 2004. |
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171. Jana Novovičová, Antonín Malík, Pavel Pudil: Feature selection using improved mutual information for text classification. Structural, Syntactic, and Statistical Pattern Recognition. Joint IAPR International Workshops SSPR 2004 and SPR 2004. Proceedings, 1010-1017. Springer, Berlin 2004. |
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172. Michal Haindl, Stanislava Šimberová: Probabilistic model-based restoration of short-exposure astronomical images. Signal and Image Processing. Proceedings, 619-624. Acta Press, Anaheim 2004. |
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173. Petr Somol, Pavel Pudil, Jiří Grim: On prediction mechanisms in Fast Branch & Bound algorithms. Structural, Syntactic, and Statistical Pattern Recognition. Joint IAPR International Workshops SSPR 2004 and SPR 2004. Proceedings, 716-724. Springer, Berlin 2004. Download |
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174. Michal Haindl, Jiří Filip: A fast probabilistic Bidirectional Texture Function model. Image Analysis and Recognition, 298-305. Springer, Heidelberg 2004. |
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175. Michal Haindl, Stanislav Mikeš: Model-based texture segmentation. Image Analysis and Recognition. Proceedings, 306-313. Springer, Berlin 2004. |
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176. Jiří Grim, J. Hora, Pavel Boček, Petr Somol, P. Pudil: Information analysis of census data by using statistical models. Proceedings of the International Conference on Statistics - Investment in the Future, 1-7. Czech Statistical Office, Prague 2004. |
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177. Jana Novovičová, Antonín Malík: Application of finite mixtures to text document classification. Znalosti 2003. Sborník příspěvků 2. ročníku konference, 23-32. VŠB, Ostrava 2003. |
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178. Jana Novovičová, Antonín Malík: Application of multinomial mixture model to text classification. Lecture Notes in Computer Science. 2652. Pattern Recognition and Image Analysis, 646-653. Springer, Berlin 2003. |
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179. Michal Haindl, Jiří Filip: Fast BTF texture modelling. Texture 2003. Proceedings, 47-52. IEEE Press, Edinburgh 2003. |
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180. Jiří Grim, Petr Somol, Pavel Pudil, P. Just: Probabilistic neural network playing a simple game. Artificial Neural Networks in Pattern Recognition. Proceedings, 132-138. University of Florence, Florence 2003. |
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181. Stanislav Mikeš, Michal Haindl: Multispectral texture segmentation. WDS '03 Proceedings of Contributed Papers, 221-225. MFF UK, Praha 2003. |
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182. Michal Haindl, H. Lauschmann: Model-based fatigue fractographs texture analysis. Lecture Notes in Computer Science. 2396. Structural, Syntactic, and Statistical Pattern Recognition. Proceedings, 842-849. Springer, Berlin 2002. |
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183. Jiří Grim, Michal Haindl: A discrete mixtures colour texture model. Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis, 59-62. HeriotWatt University, Glasgow 2002. |
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184. Michal Haindl: Recursive model-based colour image restoration. Lecture Notes in Computer Science. 2396. Structural, Syntactic, and Statistical Pattern Recognition. Proceedings, 617-626. Springer, Berlin 2002. |
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185. Michal Haindl, Vojtěch Havlíček: A simple multispectral multiresolution Markov texture model. Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis, 63-66. HeriotWatt University, Glasgow 2002. |
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186. Michal Haindl, Vojtěch Havlíček: A multiscale colour texture model. Proceedings of the 16th International Conference on Pattern Recognition, 255-258. IEEE Computer Society, Los Alamitos 2002. |
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187. Jiří Grim, Pavel Pudil, Petr Somol: Boosting in probabilistic neural networks. Proceedings of the 16th International Conference on Pattern Recognition, 136-139. IEEE Computer Society, Los Alamitos 2002. Download |
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188. Michal Haindl, Jiří Filip: Fast restoration of colour movie scratches. Proceedings of the 16th International Conference on Pattern Recognition, 269-272. IEEE Computer Society, Los Alamitos 2002. |
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189. Jiří Grim, Pavel Boček, Pavel Pudil: Safe dissemination of census results by means of interactive probabilistic models. Proceedings of the ETK-NTTS 2001 Conference, 849-856. European Communities, Rome 2001. |
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190. P. Paclík, Jana Novovičová: Number of components and initialization in Gaussian mixture model for pattern recognition. Artificial Neural Nets and Genetic Algorithms. Proceedings, 406-409. Springer, Wien 2001. |
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191. J. Kittler, Pavel Pudil, Petr Somol: Advances in statistical feature selection. Lecture Notes in Computer Science. 2013. Advances in Pattern Recognition - ICAPR 2001. Proceedings, 425-434. Springer, Heidelberg 2001. |
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192. Jiří Grim, J. Kittler, Pavel Pudil, Petr Somol: Information analysis of multiple classifier fusion. Lecture Notes in Computer Science. 2096. Multiple Classifier Systems, 168-177. Springer, Berlin 2001. |
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193. Petr Somol, Pavel Pudil, Jiří Grim: Branch & Bound algorithm with partial prediction for use with recursive and non-recursive criterion forms. Lecture Notes in Computer Science. 2013. Advances in Pattern Recognition - ICAPR 2001. Proceedings, 425-434. Springer, Heidelberg 2001. Download |
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194. Pavel Pudil, Petr Somol: Recent advances in methodology of feature selection for statistical pattern recognition. Computer Data Analysis and Modeling. Proceedings of the Sixth International Conference, 163-171. Belarussian State University, Minsk 2001. |
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195. Petr Somol, Pavel Pudil: Feature selection toolbox as a multi-purpose tool in pattern recognition. Pattern Recognition in Information Systems. Proceedings of the 1st International Workshop on Pattern Recognition in Information Systems, 91-102. ICEIS Press, Setúbal 2001. Download |
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196. Michal Haindl: Texture modelling. Computer Science and Engineering. 7. Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics, 634-639. International Institute of Informatics and Systemics, Orlando 2000. |
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197. Michal Haindl, Vojtěch Havlíček: A multiresolution causal colour texture model. Lecture Notes in Computer Science. 1876. Advances in Pattern Recognition. Proceedings, 114-122. Springer, Berlin 2000. |
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198. Jiří Grim, J. Kittler, Pavel Pudil, Petr Somol: Combining multiple classifiers in probabilistic neural networks. Lecture Notes in Computer Science. 1857. Multiple Classifier Systems, 157-166. Springer, Berlin 2000. |
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199. P. Paclík, Jana Novovičová: Road sign classification without color information. Proceedings of the 6th Annual Conference of the Advanced School for Computing and Imaging (ASCI), 84-90. Technische Universiteit, Delft 2000. |
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200. Michal Haindl, Š. Kment, P. Slavík: Virtual information systems. Proceedings of the 8th International Conference in Central Europe on Computer Graphics, Visualization and Interactive Digital Media '2000, 22-27. University of West Bohemia, Plzeň 2000. |
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201. Michal Haindl: Edge preserving model-based image restoration. Proceedings of the Czech Pattern Recognition Workshop 2000, 49-54. Czech Pattern Recognition Society, Praha 2000. |
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202. Michal Haindl, Vojtěch Havlíček, Pavel Žid: Automatic acquisition of planar-faced virtual models. Proceedings of the 15th IAPR International Conference on Pattern Recognition, 987-990. IEEE Computer Society, Los Alamitos 2000. |
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203. Jiří Grim, Pavel Pudil, Petr Somol: Recognition of handwritten numerals by structural probabilistic neural networks. Proceedings of the Second ICSC Symposium on Neural Computation, 528-534. ICSC, Wetaskiwin 2000. Download |
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204. Petr Somol, Pavel Pudil, F. J. Ferri, J. Kittler: Fast Branch & Bound algorithm in feature selection. Proceedings of SCI 2000. The 4th World Multiconference on Systemics, Cybernetics and Informatics, 646-651. IIIS, Orlando 2000. Download |
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205. M. Kudo, Petr Somol, Pavel Pudil, M. Shimbo, J. Sklansky: Comparison of classifier-specific feature selection algorithms. Lecture Notes in Computer Science. 1876. Advances in Pattern Recognition, 677-686. Springer, Berlin 2000. |
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206. Michal Haindl: Recursive square-root filters. Proceedings of the 15th IAPR International Conference on Pattern Recognition, 1018-1021. IEEE Computer Society, Los Alamitos 2000. |
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207. H. Mayer, Petr Somol: Conventional and evolutionary feature selection of SAR data using a filter approach. Proceedings of SCI 2000. The 4th World Multiconference on Systemics, Cybernetics and Informatics, 427-433. IIIS, Orlando 2000. |
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208. Petr Somol, Pavel Pudil: Oscillating search algorithms for feature selection. Proceedings of the 15th International Conference on Pattern Recognition, 406-409. IEEE Computer Society, Los Alamitos 2000. Download |
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209. H. Mayer, Petr Somol, R. Huber, Pavel Pudil: Improving statistical measures of feature subsets by conventional and evolutionary approaches. Lecture Notes in Computer Science. 1876. Advances in Pattern Recognition. Proceedings, 77-86. Springer, Berlin 2000. |
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210. Jiří Grim, Pavel Pudil, Petr Somol: Multivariate structural Bernoulli mixtures for recognition of handwritten numerals. Proceedings of the 15th International Conference on Pattern Recognition, 585-589. IEEE Computer Society, Los Alamitos 2000. |
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211. Michal Haindl: Recursive model-based image restoration. Proceedings of the 15th IAPR International Conference on Pattern Recognition, 346-349. IEEE Computer Society, Los Alamitos 2000. |
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212. Pavel Paclík, Jana Novovičová, Pavel Pudil, Petr Somol: Road sign classification using the Laplace kernel classifier. Proceedings of the 11th Scandinavian Conference on Image Analysis, 275-282. Pattern Recognition Society Denmark, Lyngby 1999. |
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213. Michal Haindl: Texture segmentation using recursive Markov random field parameter estimation. Proceedings of the 11th Scandinavian Conference on Image Analysis, 771-776. Pattern Recognition Society of Denmark, Lyngby 1999. |
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214. Pavel Pudil, Jana Novovičová, Petr Somol: Knowledge based feature selection in statistical pattern recognition. International Symposium on Pattern Recognition. "In Memoriam Pierre Devijver", 129-134. Royal Military Academy, Brussels 1999. |
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215. Jiří Grim: A sequential modification of EM algorithm. Studies in Classification, Data Analysis, and Knowledge Organization. . Classification in the Information Age. Proceedings, 163-170. Springer, Berlin 1999. Download |
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216. Jiří Grim: Information approach to structural optimization of probabilistic neural networks. Fourth European Congress on Systems Science, 527-539. SESGE, Valencia 1999. |
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217. Pavel Pudil, K. Fuka, K. Beránek, P. Dvořák: Potential of artificial intelligence based feature selection methods in regression models. Proceedings of the Third International Conference on Computational Intelligence and Multimedia Applications 1999, 159-163. IEEE Computer Society Press, Los Alamitos 1999. |
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218. Pavel Pudil, K. Fuka, K. Beránek, P. Dvořák: Use of floating search methods in regression models. Proceedings of the 17th International Conference on Mathematical Methods in Economics '99, 219-224. VŠE, Praha 1999. |
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219. Jiří Grim, Pavel Pudil: Interactive presentation of socio-economic databases by means of probabilistic models. Proceedings of the 17th International Conference on Mathematical Methods in Economics '99, 103-108. VŠE, Praha 1999. |
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220. Jana Novovičová: Approximation of Bayes classifier using t-mixtures. Preprints of the 3rd European IEEE Workshop on Computer-Intensive Methods in Control and Data Processing, 247-252. ÚTIA AV ČR, Praha 1998. |
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221. Michal Haindl: Unsupervised texture segmentation. Lecture Notes in Computer Science. 1451. Advances in Pattern Recognition. Proceedings, 1021-1028. Springer, Berlin 1998. |
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222. Jiří Grim: Discretization of probabilistic neural networks with bounded information loss. Preprints of the 3rd European IEEE Workshop on Computer-Intensive Methods in Control and Data Processing, 205-210. ÚTIA AV ČR, Praha 1998. Download |
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223. Michal Haindl, Pavel Žid: Fast segmentation of plannar surfaces in range images. Proceedings of the 14th International Conference on Pattern Recognition, 985-987. IEEE, Los Alamitos 1998. |
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224. Pavel Pudil, Jana Novovičová, Petr Somol, Radislav Vrňata: Feature selection expert - user oriented approach. Methodology and concept of the system. Lecture Notes in Computer Science. 1451. Advances in Pattern Recognition. Proceedings, 573-582. Springer, Berlin 1998. |
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225. Jiří Grim, Jana Novovičová, Pavel Pudil, Petr Somol, F. J. Ferri: Initializing normal mixtures of densities. Proceedings of the 14th International Conference on Pattern Recognition, 886-890. IEEE, Los Alamitos 1998. |
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226. Pavel Pudil: Využití učících se metod rozpoznávání pro podporu rozhodování v klinické praxi i ve zdravotní péči. Systémy na podporu rozhodování ve zdravotnictví, -. FM VŠE, Jindřichův Hradec 1998. |
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227. Michal Haindl, Vojtěch Havlíček: Colour texture modelling. Week of Doctoral Students 1998. Proceedings, 128-135. Matfyzpress, Praha 1998. |
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228. Jiří Grim, Pavel Pudil: On virtually binary nature of probabilistic neural networks. Lecture Notes in Computer Science. 1451. Advances in Pattern Recognition. Proceedings, 765-774. Springer, Berlin 1998. |
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229. Pavel Pudil: Management znalostí. Systémy na podporu rozhodování ve zdravotnictví, -. FM VŠE, Jindřichův Hradec 1998. |
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230. Michal Haindl, Vojtěch Havlíček: Multiresolution colour texture synthesis. Proceedings of the 7th International Workshop on Robotics in Alpe-Adria-Danube Region, 297-302. ASCO Art, Bratislava 1998. |
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231. Michal Haindl, Pavel Žid: Range image segmentation by curve grouping. Proceedings of the 7th International Workshop on Robotics in Alpe-Adria-Danube Region, 339-344. ASCO Art, Bratislava 1998. |
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232. Michal Haindl, Pavel Žid: Fast segmentation of range images. Lecture Notes in Computer Science. 1310. Images Analysis and Processing, 295-302. Springer, Berlin 1997. |
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233. J. Kittler, A. J. Stoddart, J. Santos-Victor, J. P. Costeira, Michal Haindl, K. Dobrovodský, P. Andris, P. Kurdel: Virtuous: Autonomous acquisition of virtual reality models from real world scenes. International Workshop on Robotics in Alpe-Adria-Danube Region, 487-492. Studio 22 Edizion, Cassino 1997. |
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234. Michal Haindl, Stanislava Šimberová: A scratch removal method. Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, 61-66. ÚTIA AV ČR, Praha 1997. |
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235. Michal Haindl, Pavel Žid: A range image segmentation method. Czech Pattern Recognition Workshop '97. Proceedings, 69-76. Czech Pattern Recognition Society, Praha 1997. |
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236. Michal Haindl, Pavel Žid: A range image segmentation method. Week of Doctoral Students 1997. Proceedings, 115-121. MFF UK, Praha 1997. |
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237. Jiří Grim: Mixture of experts architectures for neural networks as a special case of conditional expectation formula. Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, 55-60. ÚTIA AV ČR, Praha 1997. Download |
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238. Pavel Pudil, Jana Novovičová, Petr Somol, Radislav Vrňata: Conceptual base of feature selection consulting system. Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, 125-134. ÚTIA AV ČR, Praha 1997. |
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239. Pavel Pudil, K. Fuka, J. Plešingr, Petr Somol, Radislav Vrňata: Vize a koncepce výstupu z projektu "Multidisciplinární přístupy k podpoře rozhodování v ekonomii a managementu". Multidisciplinární přístupy k podpoře rozhodování v ekonomii a managementu. Workshop '97 - Grant VS 96063, 41-49. FM JU, Jindřichův Hradec 1997. |
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240. Pavel Pudil, Z. Říhová: Potential of floating search methods for managing redundant information. Proceedings of the 4th Interdisciplinary Information Management Talks, 72-81. R.Oldenbourg, München 1997. |
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241. Pavel Pudil, Jana Novovičová, Petr Somol, Radislav Vrňata: User oriented approach to feature selection in statistical pattern recognition. Multidisciplinární přístupy k podpoře rozhodování v ekonomii a managementu. Workshop '97 grantu VS 96063, 15-26. Fakulta managementu JU, Jindřichův Hradec 1997. |
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242. Z. Říhová, Pavel Pudil: Manažérské chování z hlediska participativního rozhodování. Vybrané výsledky mezinárodní studie. Systémové přístupy '96. Sborník, 105-112. VŠE, Praha 1997. |
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243. Pavel Pudil, Z. Říhová: Participativní rozhodování z hlediska chování manažérů a distribuce informací. Vybrané výsledky mezinárodní studie. Manažerské rozhledy '96. Sborník prací FM JU, 33-34. FM JU, Jindřichův Hradec 1997. |
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244. Petr Somol: Different approaches to initialization of the EM algorithm for use in Gaussian mixture modelling methods. Multidisciplinární přístupy k podpoře rozhodování v ekonomii a managementu. Workshop '97 grantu VS 96063, 85-91. Fakulta managementu JU, Jindřichův Hradec 1997. |
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245. Igor Vajda, Jiří Grim: About the maximum information and maximum likelihood principles in neural networks. Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, 189-197. ÚTIA AV ČR, Praha 1997. |
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246. F. J. Ferri, J. Albert, I. Gracia, F. Pla, Pavel Pudil, Jana Novovičová: Hierarchical feature selection: A decision tree based approach. Intelligent Feature Selection: Statistical and Neural Approaches, 7-8. University of Sussex, Brighton 1996. |
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247. Pavel Pudil, Jana Novovičová, F. J. Ferri: New tools for knowledge guided approach to feature selection in statistical pattern recognition. Intelligent Feature Selection: Statistical and Neural Approaches, 1-4. University of Sussex, Brighton 1996. |
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248. Michal Haindl, Stanislava Šimberová: Adaptive reconstruction method of multispectral images. International Archives of Photogrammetry and Remote Sensing, 809-814. ISPRS, Vienna 1996. |
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249. Jiří Grim, Pavel Boček: Statistical model of Prague households for interactive presentation of census data. SoftStat '95. Advances in Statistical Software 5, 271-278. Lucius & Lucius, Stuttgart 1996. |
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250. Jiří Grim: Maximum-likelihood design of layered neural networks. International Conference on Pattern Recognition. Proceedings, 85-89. IEEE Computer Society Press, Los Alamitos 1996. |
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251. Jiří Grim: Design of multilayer neural networks by information preserving transforms. Third European Congress on Systems Science, 977-982. Edizioni Kappa, Roma 1996. Download |
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252. Pavel Pudil, Z. Říhová: Potential of floating search methods for managing redundant information. IDIMT '96. 4th Interdisciplinary Information Management Talks. Proceedings, 72-81. R.Oldenbourg, München 1996. |
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253. Jana Novovičová, Pavel Pudil, Petr Somol: Feature selection in statistical pattern recognition via modified model with latent structure. Computer-Intensive Methods in Control and Signal Processing. Preprints of the 2nd European IEEE Workshop CMP'96, 217-222. ÚTIA AV ČR, Praha 1996. |
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254. Zdeněk Vostrý, T. Jeníček: State reconstruction for gas networks. Proceedings of the SIMONE Congress '95, 18-33. LIWACOM, Essen 1995. |
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255. Jiří Záworka: Survey on SIMONE achievements to date and development trends. Proceedings of the SIMONE Congress '95, 1-12. LIWACOM, Essen 1995. |
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256. Jana Novovičová, Pavel Pudil, J. Kittler: Feature selection based on divergence for empirical class densities. Proceedings of the 9th Scandinavian Conference on Image Analysis, 989-996. SSAB, Uppsala 1995. |
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257. Zdeněk Vostrý: Estimation of quality tracking accuracy for billing purposes. Proceedings of the SIMONE Congress '95, 34-43. LIWACOM, Essen 1995. |
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258. Pavel Pudil, Jana Novovičová, F. J. Ferri, J. Kittler: Advances in the statistical methodology for the selection of image descriptors for visual pattern representation and classification. Lecture Notes in Computer Science. 970. Computer Analysis of Images and Patterns, 832-837. Springer, Berlin 1995. |
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259. Michal Haindl, Stanislava Šimberová: A multi-model image line reconstruction. Lecture Notes in Computer Science. 970. Computer Analysis of Image and Patterns, 735-740. Springer, Berlin 1995. |
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260. Pavel Kolář: Regulární celulární systémy pro simulaci chování biologických buněčných tkání. Computer Science, 229-235. Technical University, Ostrava 1995. |
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261. T. Jeníček, Zdeněk Vostrý, Jiří Záworka: Future SIMONE developments in optimum control. Proceedings of the SIMONE Congress '95, 82-93. LIWACOM, Essen 1995. |
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262. Zdeněk Vostrý, Jiří Záworka: Heat dynamics in gas transport. Proceedings of the SIMONE Congress '95, 64-75. LIWACOM, Essen 1995. |
Other publications (84)
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1. Jiří Grim: Unsupervised Verification of Fake News by Public Opinion. Research Report 2390. UTIA, Praha 2021. Download |
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2. Jiří Grim: Vyhodnocování grantové soutěže pomocí otevřené expertní databáze. Research Report 2371. ÚTIA AV ČR v.v.i, Praha 2018. Download |
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3. Jiří Grim: Platební regulační mechanismus jako zdroj zvyšování platů ve zdravotnictví. Research Report 2373. ÚTIA AV ČR v.v.i, Praha 2018. Download |
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4. Jiří Filip, F. J. Maile: Appearance Acquisition and Analysis of Effect Coatings. Research Report 2364. ÚTIA AV ČR v.v.i, Praha 2017. Download |
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6. Jiří Filip, Radomír Vávra, Mikuláš Krupička: A Portable Setup for Fast Material Appearance Acquisition. Research Report 2342. ÚTIA AV ČR, Praha 2014. Download |
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7. Radomír Vávra, Jiří Filip, P. Somol: A Comparison of Adaptive Sampling and Interpolation of 2D BRDF Subspaces. Research Report 2339. ÚTIA AV ČR, Praha 2013. Download |
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8. Petr Somol, Jiří Grim: Fast Dependency-Aware Feature Selection in Very-High-Dimensional Pattern Recognition Problems. Research Report 2295. ÚTIA AV ČR, v.v.i, Praha 2011. Download |
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9. Jiří Filip: Towards Effective Measurement and Interpolation of Bidirectional Texture Functions. Research Report 2298. ÚTIA AV ČR, v.v.i, Praha 2011. |
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10. Petr Somol, Jana Novovičová, Pavel Pudil, J. Kittler: Feature Selection - A Very Compact Survey Over the Diversity of Existing Approaches. Research Report 2285. ÚTIA AV ČR, v.v.i, Praha 2010. |
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11. Petr Somol, Pavel Pudil: Sequential Retreating Search Methods in Feature Selection. Research Report 2286. ÚTIA, Praha 2010. |
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14. Petr Somol, Pavel Vácha, Stanislav Mikeš, Jan Hora, Pavel Pudil, Pavel Žid: Introduction to Feature Selection Toolbox 3 – The C++ Library for Subset Search, Data Modeling and Classification. Research Report 2287. ÚTIA, Praha 2010. Download |
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17. Petr Somol, Jana Novovičová: Evaluating Stability of Single and Multiple Feature Selectors that Optimize Feature Subset Cardinality. Research Report 2251. ÚTIA AV ČR, Praha 2009. |
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18. V. Havran, Jiří Filip, K. Myszkowski: Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization - Supplemental Material. Research Report 2265. ÚTIA AV ČR, v.v.i, Praha 2009. Download |
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19. Jiří Grim, Petr Somol: Diagnostic Enhancement of Screening Mammograms by Means of Local Texture Models. Research Report 2217. ÚTIA AV ČR, Praha 2008. |
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21. Michal Haindl, Petr Somol: Statistical Analysis of Medical Images and Its Possible Impact on Medical Practice. International Conference Efficiency, Quality and Consumer Satisfaction in Healthcare and Welfare, 1-1. STAPRO, Praha 2007. |
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22. Michal Haindl, Stanislava Šimberová: Probabilistic suppression of astronomical degradations. Proceedings of Abstracts of Modern Solar Facilities - Advanced Solar Science, 1-1. Universitätsverlag Göttingen, Göttingen 2007. |
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23. Petr Somol, Jana Novovičová: Does It Make Sense to Develop New Feature Selection Methods?. Research Report 2193. ÚTIA AV ČR, Praha 2007. |
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24. Michal Haindl, Pavel Pudil, Petr Somol: Model-Based Visual Inspection. MATEO - The European Network of Mechatronics Centres and Industrial Controllers . UWB, Plzeň 2007. |
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25. Pavel Pudil, Petr Somol, Michal Haindl: Selection of Most Informative Variables in Statistical Pattern Recognition. MATEO -The European Network of Mechatronics Centres and Industrial Controllers . UWB, Plzeň 2007. |
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26. Petr Somol, Jana Novovičová, Pavel Pudil: Advances in Feature Selection Methodology: an Overview of Recent ÚTIA Results. Interní publikace - DAR - ÚTIA 2006/21. ÚTIA AV ČR, Praha 2006. |
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27. Jiří Grim: Neuromorphic Features of Probabilistic Neural Networks. Interní publikace - DAR - ÚTIA 2006/20. ÚTIA AV ČR, Praha 2006. |
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29. G. Scarpa, Michal Haindl, J. Zerubia: Hierarchical Finite-State Modeling for Texture Segmentation with Application to Forest Classification. Rapport de recherche 6066. Institut National de Recherche en Informatique et en Automatique, Sophia Antipolis 2006. Download |
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30. Michal Haindl, M. Hatka: A Roller - Fast Sampling-Based Texture Synthesis Algorithm. ÚTIA AV ČR, Praha 2005. |
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32. Petr Somol, Michal Haindl: Novel Path Search Algorithm for Image Stitching and Advanced Texture Tiling. ÚTIA AV ČR, Praha 2005. |
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33. Michal Haindl, Stanislava Šimberová: Restoration of Multitemporal Short-Exposure Astronomical Images. ÚTIA AV ČR, Praha 2005. |
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34. J. Meseth, P. Degener, R. Klein, Michal Haindl, Jiří Filip, Petr Somol: Texture Synthesis on Surfaces. Research Report 2141. ÚTIA AV ČR, Praha 2005. |
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35. Michal Haindl, Jiří Filip, Petr Somol: Texturing Library - Reference Manual. Research Report 2142. ÚTIA AV ČR, Praha 2005. |
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37. J. Meseth, G. Müller, R. Klein, Michal Haindl, Jiří Filip, Petr Somol, Pavel Žid: Specification and Prototype Description of Texture Mapping and Synthesis. Research Report 2107. ÚTIA AV ČR, Praha 2004. |
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38. Michal Haindl, Jiří Filip, Petr Somol, Vojtěch Havlíček: RealReflect Library - Reference Manual. Research Report 2121. ÚTIA AV ČR, Praha 2004. |
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39. Michal Haindl, Jiří Filip, Petr Somol: Advances in BTF Modelling. Research Report 2119. ÚTIA AV ČR, Praha 2004. |
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40. Petr Somol, Michal Haindl: Texture Tiling and Patching with a Novel Path Search Algorithm for Quick and Realistic Texture Synthesis. Research Report 2122. ÚTIA AV ČR, Praha 2004. |
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41. Antonín Malík: Mixture models for learning text document classifiers. Abstract. Proceedings of the 4th International PhD Workshop Information Technologies & Control. Young Generation Viewpoint, 6. ÚTIA AV ČR, Praha 2003. |
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42. Michal Haindl, R. Klein, Jiří Filip, Petr Somol, J. Meseth: Specification and Prototype Description of BTF Database and Model. Research Report 2076. ÚTIA AV ČR, Praha 2003. |
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43. Michal Haindl, Jiří Filip, Petr Somol, J. Meseth: BTF Parametric Database. Research Report 2090. ÚTIA AV ČR, Praha 2003. |
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45. Jana Novovičová, Antonín Malík: Text Document Classification Using Finite Mixtures. Research Report 2063. ÚTIA AV ČR, Praha 2002. Download |
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46. Michal Haindl, Jiří Filip, Petr Somol: Specification and Prototype Description of Texture Model. Research Report 2075. ÚTIA AV ČR, Praha 2002. |
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47. Jiří Grim, Michal Haindl: A mixture-based colour texture model. Abstract. Recent Developments in Mixture Modelling. Abstracts, 58. Universität der Bundeswehr, Hamburg 2001. |
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48. Jiří Grim: The models of conditional independence: Finite mixtures of product components and their application. Abstract. Recent Developments in Mixture Modelling. Abstracts, 59. Universität der Bundeswehr, Hamburg 2001. |
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49. Jiří Grim, Michal Haindl: A Monospectral Probabilistic Discrete Mixture Texture Model. Research Report 2018. ÚTIA AV ČR, Praha 2001. |
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50. Jiří Grim: Latent Structure Analysis for Categorical Data. Research Report 2019. ÚTIA AV ČR, Praha 2001. |
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52. Michal Haindl, J. Filip: A Fast Model-Based Restoration of Colour Movie Scratches. Research Report 2031. ÚTIA AV ČR, Praha 2001. |
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53. Jana Novovičová: Statistical Pattern Recognition: Methods for Feature Selection. Habilitation Thesis. 2001. |
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56. Michal Haindl, Vojtěch Havlíček: Texture Synthesis II. Research Report 1965. ÚTIA AV ČR, Praha 1999. |
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57. Michal Haindl, Vojtěch Havlíček: Texture Mapping II. Research Report 1962. ÚTIA AV ČR, Praha 1999. |
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58. Michal Haindl, Vojtěch Havlíček, Pavel Žid: Shape and Texture Data Fusion II. Research Report 1958. ÚTIA AV ČR, Praha 1999. |
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63. Miroslav Kárný, Ivan Nagy, Jana Novovičová: Quasi-Bayes Approach to Multi-Model Fault Detection and Isolation. Research Report 1974. ÚTIA AV ČR, Praha 1999. |
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64. Ivan Nagy, Miroslav Kárný, Jana Novovičová, Markéta Valečková: Mixture-model Identification in Traffic Control Problems. Research Report 1973. ÚTIA AV ČR, Praha 1999. |
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65. Michal Haindl, Vojtěch Havlíček: Texture Synthesis. Research Report 1943. ÚTIA AV ČR, Praha 1998. |
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69. Michal Haindl, Vojtěch Havlíček: Texture Analysis. Research Report 1938. ÚTIA AV ČR, Praha 1997. |
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70. Jiří Grim: Maximum-Likelihood Structuring of Probabilistic Neural Networks. Research Report 1894. ÚTIA AV ČR, Praha 1997. Download |
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71. Michail I. Schlesinger: Identifikacija statističeskich parametrov v odnoj modeli uslovnoj nezavisimosti. Research Report 1895. ÚTIA AV ČR, Praha 1997. |
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72. Michal Haindl, Vojtěch Havlíček: Prototype Implementation of the Texture Analysis Objects. Research Report 1939. ÚTIA AV ČR, Praha 1997. |
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74. Jiří Grim, J. Vejvalková: An Interative Inference Mechanism for the Probabilistic Expert System PES. Research Report 1866. ÚTIA AV ČR, Praha 1996. |
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75. Igor Vajda, Jiří Grim: On Information Theoretic Optimality of Radial Basis Function Neural Networks. Research Report 1864. ÚTIA AV ČR, Praha 1996. |
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76. Michal Haindl, Stanislav Saic: Automatická analýza kožních útvarů. Research Report 1871. ÚTIA AV ČR, Praha 1996. |
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78. Jiří Grim, D. Vavruška: Probabilistic Knowledge-based Models Defined by Finite Distribution Mixtures. Research Report 1873. ÚTIA AV ČR, Praha 1996. |
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79. Jiří Grim: An Alternative Design of Mixture of Experts Architectures for Neural Networks. Research Report 1883. ÚTIA AV ČR, Praha 1996. |
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80. Igor Vajda, Jiří Grim: About Optimality of Probabilistic Basic Function Neural Networks. Research Report 1887. ÚTIA AV ČR, Praha 1996. |
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81. Jiří Grim: Discretization in Probabilistic Neural Networks with Bounded Information Loss. Research Report 1878. ÚTIA AV ČR, Praha 1996. |
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82. Michal Haindl, M. M. de Ruiter: The MADE Help System. Research Report R9528. CWI, Amsterdam 1995. |
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84. Pavel Kovanic: Gnostická teorie neurčitých dat. Doktorská disertační práce. ÚTIA ČSAV, Praha 1990. |
Miscellaneous (5)
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3. F. J. Ferri, J. M. Inesta, A. Amin, Pavel Pudil: Advances in Pattern Recognition. Lecture Notes in Computer Science. 1876. Springer, Berlin 2000. |
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4. A. Amin, D. Dori, Pavel Pudil, H. Freeman: Advances in Pattern Recognition. Proceedings. Lecture Notes in Computer Science. 1451. Springer, Berlin 1998. |
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5. Pavel Pudil, Jana Novovičová, Jiří Grim: Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition. ÚTIA AV ČR, Praha 1997. |