Publications


Books and chapters (25)

1. 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
2. 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
3. Michal Haindl, Václav Remeš: Digital Mammogram Enhancement. Mammography Techniques and Review, 63-78. InTech Education and Publishing, Zagreb 2015.   Download
4. Petr Somol, Jana Novovičová, Pavel Pudil: Moderní metody výběru příznaků ve statistickém rozpoznávání. Umělá inteligence 6, 424-468. Academia, Praha 2013.   Download
5. Michal Haindl, Jiří Filip: Visual Texture : Accurate Material Appearance Measurement, Representation and Modeling. Springer-Verlag London, London 2013.   Download
6. 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
7. Pavel Vácha, Michal Haindl: Illumination Invariants Based on Markov Random Fields. Pattern Recognition, Recent Advances, 253-272. In-Teh, Vukovar, Croatia 2010.   Download
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
9. Igor Vajda, Jiří Grim: Neural networks. Systems Science and Cybernetics, 224-248. Eolss Publishers-UNESCO, Oxford 2008.   Download
10. Michal Haindl, Stanislav Mikeš: Unsupervised Texture Segmentation. Pattern Recognition, 227-248. In-Tech, Vienna 2008.   Download
11. Michal Haindl, Pavel Žid: Multimodal Range Image Segmentation. Vision Systems, Segmentation & Pattern Recognition, 25-46. I-Tech Education and Publishing, Vienna, Vienna 2007.   Download
12. 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.
13. Pavel Pudil, Jana Novovičová, Petr Somol: Recent feature selection methods in statistical pattern recognition. Pattern Recognition and String Matching, 1-51. Kluwer, Dordrecht 2003.
14. Jiří Grim: Pravděpodobnostní neuronové sítě. Umělá inteligence (4), 276-312. Academia, Praha 2003.
15. Michal Haindl: Model-based pattern recognition. Pattern Recognition and String Matching, 201-236. Kluwer, Dordrecht 2003.
16. 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.
17. 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.
18. 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.
19. K. Haindl, Michal Haindl: Aeration at hydraulic structures. Developments in Hydraulic Engineering - 2, 95-134. Gihodo, Tokyo 2001.
20. Pavel Pudil: Multidisciplinární podpora managementu. Vědecký sborník VŠE v Praze. University of Economics, Prague 2000.
21. Jana Novovičová: Pravděpodobnost a matematická statistika. ČVUT, Praha 1999.
22. 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.
23. 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.
24. Michal Haindl, Stanislava Šimberová: A regression model contribution to astronomical image reconstruction. Data Analysis in Astronomy, 303-310. World Scientific, Singapore 1997.
25. D. Kovanicová, Pavel Kovanic: Poklady skryté v účetnictví. Díl 1,2. Polygon, Praha 1995.

Journal articles (113)

1. Jiří Filip, Martina Kolafová: Perceptual Attributes Analysis of Real-World Materials. ACM Transactions on Applied Perception 16.   Download
2. Jiří Filip, Radomír Vávra: Image-based appearance acquisition of effect coatings. Computational Visual Media 5:1 (2019), 73-89.   Download
3. 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
4. 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, 1-18.   Download
5. Jiří Filip, Martina Kolafová, Michal Havlíček, Radomír Vávra, Michal Haindl, H. Rushmeier: Evaluating Physical and Rendered Material Appearance. Visual Computer 34, 805-816.   Download
6. Radomír Vávra, Jiří Filip: Adaptive slices for acquisition of anisotropic BRDF. Computational Visual Media 4:1 (2018), 55-69.   Download
7. 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
8. Jiří Filip, Michal Havlíček, Radomír Vávra: Adaptive highlights stencils for modeling of multi-axial BRDF anisotropy. Visual Computer 33:1 (2017), 5-15.   Download
9. 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.   Download
10. Radomír Vávra, Jiří Filip: Minimal Sampling for Effective Acquisition of Anisotropic BRDFs. Computer Graphics Forum 35:7 (2016), 299-309.   Download
11. F. J. Maile, Jiří Filip: New applications for polychromatic effect pigments. Asia Pacific Coatings Journal 29:2 (2016), 35-38.   Download
12. V. Havran, Jiří Filip, K. Myszkowski: Perceptually Motivated BRDF Comparison using Single Image. Computer Graphics Forum 35:4 (2016), 1-12.   Download
13. Michal Haindl, Stanislav Mikeš: A competition in unsupervised color image segmentation. Pattern Recognition 57:9 (2016), 136-151. Elsevier.   Download
14. 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
15. Michal Haindl, Mikuláš Krupička: Unsupervised detection of non-iris occlusions. Pattern Recognition Letters 57:5 (2015), 60-65. Elsevier.   Download
16. Michal Haindl, Matěj Sedláček, Radomír Vávra: Virtual Reconstruction of Cultural Heritage Artifacts. ERCIM News 103 (2015), 12-13.   Download
17. Michal Haindl, Stanislav Mikeš: Unsupervised Image Segmentation. IAPR Newsletter 36:4 (2014), 23-23.   Download
18. Jiří Grim: Sequential pattern recognition by maximum conditional informativity. Pattern Recognition Letters 45:1 (2014), 39-45. Elsevier.   Download
19. Jiří Filip, Radomír Vávra: Template-Based Sampling of Anisotropic BRDFs. Computer Graphics Forum 33:7 (2014), 91-99.   Download
20. Jiří Filip, Radomír Vávra, Mikuláš Krupička: Rapid Material Appearance Acquisition Using Consumer Hardware. Sensors 14:10 (2014), 19785-19805.   Download
21. Pavel Vácha, Michal Haindl: Wood Variety Recognition on Mobile Devices. ERCIM News 93 (2013), 52-52.   Download
22. Michal Haindl, J. Kittler: Introduction to the Special Theme Image Understanding. ERCIM News 95:95 (2013), 9-9.   Download
23. 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
24. Martin Hatka, Michal Haindl: Advanced Material Rendering in Blender. The International Journal of Virtual Reality 11:2 (2012), 15-23.   Download
25. Michal Haindl, Jiří Filip, Radomír Vávra: Digital Material Appearance: the Curse of Tera-Bytes. ERCIM News 90 (2012), 49-50.   Download
26. 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
27. 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
28. Pavel Vácha, Michal Haindl: Content-Based tile Retrieval System. ERCIM News 85 (2011), 45-45.   Download
29. 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
31. D. Chetverikov, S. Fazekas, Michal Haindl: Dynamic texture as foreground and background. Machine Vision and Applications 22:5 (2011), 741-750.   Download
32. Stanislav Mikeš, Michal Haindl, Radek Holub: National Gallery in Prague. ERCIM News 86 (2011), 23-24.   Download
33. 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.   Download
34. V. Havran, Jiří Filip, K. Myszkowski: Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization. Computer Graphics Forum 29:1 (2010), 175-190.   Download
35. Michal Haindl, Jiří Filip, Martin Hatka: Realistic Material Appearance Modelling. ERCIM News 81 (2010), 13-14.   Download
36. Michal Haindl: Scientometry Leading us Astray. ERCIM News 82 (2010), 8-8.   Download
37. 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
38. Jiří Grim, J. Hora, Petr Somol, Pavel Boček, P. Pudil: Interaktivní statistický model dat ze sčítání lidu v České republice v r. 2001. Statistika 89:4 (2009), 285-299.   Download
39. 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.   Download
40. 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.
41. 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.   Download
42. 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.   Download
43. Michal Haindl, Vojtěch Havlíček, Jiří Grim: Probabilistic Discrete Mixtures Colour Texture Models. Lecture Notes in Computer Science 5197 (2008), 675-682.   Download
44. 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
46. Jiří Grim, Jan Hora: Iterative principles of recognition in probabilistic neural networks. Neural Networks 21:6 (2008), 838-846. Elsevier.
47. 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
48. Michal Haindl, Stanislav Mikeš: Unsupervised Texture Segmentation Using Multiple Segmenters Strategy. Lecture Notes in Computer Science 4472 (2007), 210-219.
49. 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.
50. Michal Haindl, Stanislav Mikeš, G. Scarpa: Unsupervised Detection of Mammogram Regions of Interest. Lecture Notes in Computer Science 2007, 33-40.   Download
51. 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
52. 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..
53. Michal Haindl, Jiří Grim, Stanislav Mikeš: Texture Defect Detection. Lecture Notes in Computer Science 2007, 987-994.   Download
54. Jiří Grim, Jan Hora: Minimum Information Loss Cluster Analysis for Cathegorical Data. Lecture Notes in Computer Science 2007, 233-247.
55. Jiří Filip, Michal Haindl: BTF Modelling using BRDF Texels. International Journal of Computer Mathematics 84:9 (2007), 1267-1283.   Download
56. Jiří Grim: Neuromorphic features of probabilistic neural networks. Kybernetika 43:5 (2007), 697-712. Ústav teorie informace a automatizace AV ČR, v. v. i..
57. 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.   Download
58. Jana Novovičová, Petr Somol, Pavel Pudil: Oscillating feature subset search algorithm for text categorization. Lecture Notes in Computer Science 44:4225 (2006), 578-587.
59. 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
60. 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
61. Stanislav Mikeš, Michal Haindl: Prague texture segmentation data generator and benchmark. ERCIM News 64 (2006), 67-68.
62. Jiří Grim: EM cluster analysis for categorical data. Lecture Notes in Computer Science 44:4109 (2006), 640-648.
63. Jiří Filip, Michal Haindl: BTF Modelling Using BRDF Texels. Lecture Notes in Computer Science 4153 (2006), 475-484.   Download
64. 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
65. Jiří Filip, Michal Haindl, D. Chetverikov: Fast Synthesis of Dynamic Colour Textures. ERCIM News 66 (2006), 53-54.   Download
66. 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
67. 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.   Download
68. Jana Novovičová: Text document classification. ERCIM News, 53-54.
69. M. Svítek, Jana Novovičová: Performance parameters definition and processing. Neural Network World 15:6 (2005), 1-11. Ústav informatiky AV ČR, v. v. i..
70. Michal Haindl, Stanislav Mikeš: Colour texture segmentation using modelling approach. Pattern Recognition and Image Analysis 3687:- (2005), 484-491.
71. Michal Haindl, Stanislava Šimberová: Restoration of multitemporal short-exposure astronomical images. Proceedings of the 14th Scandinavian Conference on Image Analysis. SCIA 2005 3540.
72. Jiří Grim, Petr Somol, Pavel Pudil: Probabilistic neural network playing and learning Tic-Tac-Toe. Pattern Recognition Letters 26:12 (2005), 1866-1873. Elsevier.
73. Michal Haindl, Jiří Filip: Modelling of authentic reflectance behaviour in virtual environments. ERCIM News, 49-50.
74. 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.
76. 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..
77. Jiří Grim, Michal Haindl: Texture modelling by discrete distribution mixtures. Computational Statistics and Data Analysis 41, 603-615. Elsevier.
78. 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..
79. Petr Somol, Pavel Pudil: Feature selection toolbox. Pattern Recognition 35:12 (2002), 2749-2759. Elsevier.   Download
80. Jiří Grim, J. Kittler, Pavel Pudil, Petr Somol: Multiple classifier fusion in probabilistic neural networks. Pattern Analysis and Applications 5:7 (2002), 221-233.
81. Pavel Pudil, Jana Novovičová, Petr Somol: Feature selection toolbox software package. Pattern Recognition Letters 23:4 (2002), 487-492. Elsevier.
82. 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.   Download
83. Pavel Pudil, Michal Haindl: Czech Pattern Recognition Society. IAPR Newsletter 23:3 (2001), 4-5.
84. Michal Haindl, P. Slavík: Image-based acquisition of virtual gallery model. ERCIM News, 15.
85. Michal Haindl, J. Kittler: Autonomous acquisition of virtual reality models from real world scenes. Cultivate Interactive, 30-38.   Download
86. Michal Haindl, Vojtěch Havlíček: Colour texture modelling. ERCIM News, 23-24.
87. Petr Somol, Pavel Pudil: Branch & Bound algoritmus s částečným řazením uzlů výpočetního stromu. Acta Oeconomica Pragensia 8:2 (2000), 33-40.
88. Petr Somol, Pavel Pudil: Oscilační algoritmy pro vyhledávání příznaků. Acta Oeconomica Pragensia 8:2 (2000), 25-32.
89. Pavel Pudil, P. Pirožek, Petr Somol: Výběr nejinformativnějších faktorů při akvizici podniků pomocí metod rozpoznávání obrazů. Acta Oeconomica Pragensia 8:2 (2000), 143-159.
90. 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.
91. Pavel Paclík, Jana Novovičová, Pavel Pudil, Petr Somol: Road sing classification using Laplace kernel classifier. Pattern Recognition Letters 21, 1165-1173. Elsevier.
92. Jiří Grim, Pavel Pudil, Petr Somol: Probabilistic information retrieval from census data based on distribution mixtures. Acta Oeconomica Pragensia 8:2 (2000), 41-47.
93. Jiří Grim: Self-organizing maps and probabilistic neural networks. Neural Network World 10:3 (2000), 407-415. Ústav informatiky AV ČR, v. v. i..
94. K. Fuka, Pavel Pudil: Objektová analýza a návrh systému pro podporu rozhodování. Výsledky a zhodnocení. Acta Oeconomica Pragensia 8:2 (2000), 60-70.
95. Petr Somol, Pavel Pudil, Jana Novovičová, Pavel Paclík: Adaptive floating search methods in feature selection. Pattern Recognition Letters 20, 1157-1163. Elsevier.   Download
96. Jiří Grim, J. Vejvalková: An iterative inference mechanism for the probabilistic expert system PES. International Journal of General Systems 27, 373-396.
98. Pavel Pudil, Jana Novovičová: Novel methods for subset selection with respect to problem knowledge. IEEE Intelligent Systems 13:2 (1998), 66-74.
99. 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..
100. 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..
101. Michal Haindl, Stanislava Šimberová: A scratch removal method. Kybernetika 34:4 (1998), 423-428. Ústav teorie informace a automatizace AV ČR, v. v. i..
102. 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..
103. Z. Říhová, Pavel Pudil: Šíření a využívání informací z hlediska participativního rozhodování. Acta Oeconomica Pragensia 5:1 (1997), 93-101.
104. Pavel Pudil, Michal Haindl: Statistical techniques in pattern recognition. ERCIM News, 57.
105. Michal Haindl, Jiří Wiedermann: ERCIM meetings in Prague. ERCIM News, 2-3.   Download
106. P. Andris, J. P. Costeira, K. Dobrovodský, Michal Haindl, J. Kittler, P. Kurdel, J. Santos-Victor, A. J. Stoddart: VIRTUOUS. ERCIM News, 25.
107. 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.
108. Michal Haindl: IAPR on the Network!. IAPR Newsletter 18:1 (1996), 5.
109. Michal Haindl, Stanislava Šimberová: A high - resolution radiospectrograph image reconstruction method. . Astronomy and Astrophysics Supplement Series 115, 189-193.
110. Michal Haindl: HIT Browser. ERCIM News, 12.
111. Michal Haindl: A new multimedia synchronization model. IEEE Journal on Selected Areas in Communications 14:1 (1996), 73-83.
112. 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.
113. Michal Haindl, M. M. de Ruiter: The MADE help system. Computer Graphics Forum 14:3 (1995), 149-157.

Conference papers (243)

1. 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
2. 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
3. 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
4. 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
5. 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
6. 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
7. Radek Richtr, Michal Haindl: Dynamic Texture Similarity Criterion. The 24th International Conference on Pattern Recognition (ICPR 2018), 904-909. IEEE, New York 2018.   Download
8. 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
9. 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
10. Radomír Vávra, Jiří Filip: Adaptive Measurement of Anisotropic Material Appearance. Pacific Graphics Short Papers, 1-6. The Eurographics Association, Goslar 2017.   Download
11. 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
12. 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
13. 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
14. 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
15. 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
16. 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
17. Miloš Kudělka, Michal Haindl: Texture fidelity criterion. Proceedings of the 2016 IEEE International Conference on Image Processing. IEEE, Piscataway 2016.   Download
18. 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
19. 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
20. 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
21. 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
22. 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
23. 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
24. 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
25. 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
26. Jiří Filip, V. Havran, K. Myszkowski: Gaze Analysis of BRDF Distortions. Workshop on Material Appearance Modeling. The Eurographics Association, Geneve 2016.   Download
27. 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
28. Michal Havlíček: Extended Bidirectional Texture Function Moving Average Model. Doktorandské dny 2015, 1-7. České vysoké učení technické v Praze, Praha 2015.   Download
29. 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
30. 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
31. 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
32. Zdeněk Wagner, Pavel Kovanic: Advanced Data Analysis for Industrial Applications. Abstracts Book, 5. -, - 2015.
33. 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
34. 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
35. 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
36. Jiří Filip: Analyzing and Predicting Anisotropic Effects of BRDFs. Proceedings of the ACM SIGGRAPH Symposium on Applied Perception, 25-32. ACM, New York 2015.   Download
37. 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
38. 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
39. Jiří Filip, Radomír Vávra: Anisotropic Materials Appearance Analysis using Ellipsoidal Mirror. Measuring, Modeling, and Reproducing Material Appearance 2015. SPIE-IS&T, Bellingham 2015.   Download
40. Jiří Grim, P. Pudil: Mixtures of Product Components versus Mixtures of Dependence Trees. Computational Intelligence, 365-382. Springer, Cham 2015.   Download
41. Michal Haindl, Václav Remeš, Vojtěch Havlíček: BTF Potts compound texture model. Measuring, Modeling, and Reproducing Material Appearance 2015. SPIE-IS&T, Bellingham 2015.   Download
42. 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
43. Michal Havlíček: Dynamic Texture Modelling and Editing Using Temporal Mixing Coefficients Reduction. Doktorandské dny, 7-16. FJFI ČVUT, Praha 2014.   Download
44. 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
45. 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
46. 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
47. 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
48. Jiří Grim: Approximating Probability Densities by Mixtures of Gaussian Dependence Trees. Stochastic and Physical Monitoring Systems, SPMS 2014. ČVUT, Praha 2014.   Download
49. 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
50. 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
51. Michal Havlíček: Dynamic Textures Modelling with Temporal Mixing Coefficients Approximation. Doktorandské dny 2013, 41-48. ČVUT, Praha 2013.   Download
52. 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
53. 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
54. Michal Havlíček, Michal Haindl: A Moving Average Bidirectional Texture Function Model. Computer Analysis of Images and Patterns, 338-345. Springer, Heidelberg 2013.   Download
55. 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
56. 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
57. Michal Haindl, Stanislav Mikeš: Unsupervised Dynamic Textures Segmentation. Computer Analysis of Images and Patterns, 433-440. Springer, Heidelberg 2013.   Download
58. 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
59. 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
60. 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
61. Michal Haindl, Mikuláš Krupička: Non-Iris Occlusions Detection. Biometrics: Theory, Applications and Systems (BTAS), 2013, 1-6. IEEE, Piscataway 2013.   Download
62. Michal Havlíček: Bidirectional Texture Function Three Dimensional Pseudo Gaussian Markov Random Field Model. Doktorandské dny 2012, 53-62. ČVUT v Praze, Praha 2012.   Download
63. Miloš Kudělka: Image Quality Assessment. WDS'12 Proceedings of Contributed Papers, 94-99. MATFYZPRESS, Praha 2012.   Download
64. 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
65. Pavel Vácha, Michal Haindl: Texture Recognition using Robust Markovian Features. Computational Intelligence for Multimedia Understanding, 126-137. Springer, Berlin 2012.   Download
66. 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
67. 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
68. 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
69. 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
70. 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
71. Michal Haindl, Michal Havlíček: Bidirectional Texture Function Simultaneous Autoregressive Model. Computational Intelligence for Multimedia Understanding, 149-159. Springer, Berlin 2012.   Download
72. 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
73. 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
74. 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
75. Michal Haindl, Vojtěch Havlíček: A Plausible Texture Enlargement and Editing Compound Markovian Model. Computational Intelligence for Multimedia Understanding, 138-148. Springer, Berlin 2012.   Download
76. 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
77. 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
78. Michal Havlíček: MSAR BTF Model. Doktorandské Dny 2011, 47-56. FJFI ČVUT, Praha 2011.   Download
79. 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
80. 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
81. 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
82. 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
83. 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
84. 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.
85. 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
86. 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
87. Pavel Vácha, Michal Haindl: Content-Based Tile Retrieval System. Structural, Syntactic, and Statistical Pattern Recognition, 434-443. Springer Berlin / Heidelberg, Berlin / Heidelberg 2010.   Download
88. 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
89. 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
90. 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
91. Jiří Grim, Jan Hora: Computational Properties of Probabilistic Neural Networks. Artificial Neural Networks – ICANN 2010, 31-40. Springer Verlag, Berlin Heidelberg 2010.   Download
92. 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
93. 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
94. 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
95. 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.
96. 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
97. Petr Somol, Jiří Grim, Pavel Pudil: Criteria Ensembles in Feature Selection. Multiple Classifier Systems, LNCS 5519, 304-313. Springer, Berlin Heidelberg 2009.
98. 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
99. 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
100. 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
101. 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
102. Michal Haindl, Stanislav Mikeš, Pavel Pudil: Unsupervised Hierarchical Weighted Multi-Segmenter. Multiple Classifier Systems, LNCS 5519, 272-282. Springer, Berlin Heidelberg 2009.   Download
103. Jiří Grim, Jan Hora: Recognition of Properties by Probabilistic Neural Networks. Artificial Neural Networks - ICANN 2009, 165-174. Springer Verlag, Berlin, Heidelberg 2009.   Download
104. 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
105. Michal Haindl, Vojtěch Havlíček: Texture Editing Using Frequency Swap Strategy. Computer Analysis of Images and Patterns, 1146-1153. Springer, Heidelberg 2009.   Download
106. Michal Haindl, Martin Hatka: Near-Regular Texture Synthesis. Computer Analysis of Images and Patterns, 1138-1145. Springer, Heidelberg 2009.   Download
107. 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
108. 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
109. 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
110. Stanislav Mikeš, Michal Haindl, Radek Holub: Navigation in Virtual Environment. 2nd International Conference EVA, 111-118. Austrian Computer Society, Vienna 2008.   Download
111. 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
112. 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
113. Michal Haindl, Stanislav Mikeš: Texture Segmentation Benchmark. Proceedings of the 19th International Conference on Pattern Recognition, 2933-2936. IEEE Press, Los Alamitos 2008.   Download
114. Michal Haindl, Stanislav Mikeš: Unsupervised Mammograms Segmentation. Proceedings of the 19th International Conference on Pattern Recognition, 676-679. IEEE Press, Los Alamitos 2008.   Download
115. 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
116. Jiří Grim: Extraction of Binary Features by Probabilistic Neural Networks. Artificial Neural Networks - ICANN 2008, 52-61. Springer, Berlin 2008.
117. 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
118. 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
119. 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
120. 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.
121. 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
122. 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
123. 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
124. 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.
125. Jan Hora: Informational Cathegorical Data Clustering. Doktorandské dny 2007, 57-66. Česká technika ČVUT, Praha 2007.
126. Michal Haindl, Stanislava Šimberová: Probabilistic suppression of astronomical image degradations. Modern solar facilities - advanced solar science, 127-130. Universitätsverlag Göttingen, Göttingen 2007.   Download
127. Jiří Grim, Jan Hora: Recurrent Bayesian Reasoning in Probabilistic Neural Networks. Artificial Neural Networks - ICANN 2007, 129-138. Springer, Berlin 2007.
128. Martin Hatka: Syntéza periodicko-stochastických textur. Doktorandské dny 2007, 39-48. Česká technika ČVUT, Praha 2007.
129. 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
130. 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.
131. 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.
132. 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
133. 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
134. 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.
135. 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.
136. 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
137. 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
138. 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