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Vácha, P., M. Haindl, and T. Suk, "Colour and rotation invariant textural features based on Markov random fields", Pattern Recognition Letters, vol. 32, no. 6, pp. 771 - 779, 2011.
Vácha, P., and M. Haindl, "Natural Material Recognition with Illumination Invariant Textural Features", Pattern Recognition (ICPR), 2010 20th International Conference on, pp. 858 -861, aug., 2010.
Vácha, P., and M. 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, New York, NY, USA, ACM Press, pp. 448–454, 2007.
Vácha, P., and M. Haindl, "Illumination invariants based on Markov random fields", Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, pp. 1 -4, dec., 2008.
S
Somol, P., P. Pudil, and J. Grim, "Branch & Bound algorithm with partial prediction for use with recursive and non-recursive criterion forms", Advances in Pattern Recognition - ICAPR 2001. Proceedings, Heidelberg, Springer, pp. 425-434, March, 2001.
Somol, P., and P. Pudil, "Feature selection toolbox", Pattern Recognition, vol. 35, no. 12, pp. 2749-2759, 2002.
Somol, P., and M. Haindl, "Novel Path Search Algorithm for Image Stitching and Advanced Texture Tiling", The 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, Plzen, University of Western Bohemia, pp. 155-218, February, 2005.
Somol, P., P. Pudil, F. J. Ferri, and J. Kittler, "Fast Branch & Bound algorithm in feature selection", Proceedings of SCI 2000. The 4th World Multiconference on Systemics, Cybernetics and Informatics, Orlando, IIIS, pp. 646-651, July, 2000.
Somol, P., and P. Pudil, "Oscillating search algorithms for feature selection", Proceedings of the 15th International Conference on Pattern Recognition, Los Alamitos, IEEE Computer Society, pp. 406-409, September, 2000.
Somol, P., P. Pudil, and J. Kittler, "Fast Branch & Bound algorithms for optimal feature selection", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 7, pp. 900-912, 2004.
Somol, P., P. Pudil, J. Novovičová, and P. Paclík, "Adaptive floating search methods in feature selection", Pattern Recognition Letters, vol. 20, no. 11/13, pp. 1157-1163, 1999.
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Pudil, P., J. Novovičová, and J. Kittler, "Floating search methods in feature selection", Pattern Recognition Letters, vol. 15, pp. 1119-1125, 1994.
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Novovičová, J., and A. Malík, "Application of finite mixtures to text document classification", Znalosti 2003. Sborník příspěvků 2. ročníku konference, Ostrava, VŠB, pp. 23-32, February, 2003.
Novovičová, J., P. Pudil, and J. Kittler, "Divergence based feature selection for multimodal class densities", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 1, pp. 218-223, 1996.
Novovičová, J., and A. Malík, "Application of multinomial mixture model to text classification", Pattern Recognition and Image Analysis, Berlin, Springer, pp. 646-653, June, 2003.
M
Mikeš, S., and M. Haindl, The Prague Texture Segmentation Datagenerator and Benchmark, , 2008.
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Kolar, R., and P. Vácha, "Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields", World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, vol. 25/11: Springer Berlin Heidelberg, pp. 247-250, 2009.
H
Havlíček, M., "Extended Bidirectional Texture Function Moving Average Model", Doktorandské dny 2015: České vysoké učení technické v Praze, pp. 37-44, 11/2015.
Havlíček, M., "Dynamic Texture Modelling and Editing Using Temporal Mixing Coefficients Reduction", Doktorandské dny 2014, Praha, FJFI ČVUT, pp. 7-16, 2014.
Havlíček, M., "MSAR BTF Model", Doktorandské dny 2011, 1, vol. 1, issue 1, Praha, České vysoké učení technické v Praze, pp. 47-56, 11/2011.