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H
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.
Havlíček, M., " Dynamic Textures Modelling with Temporal Mixing Coefficients Approximation", Doktorandské dny 2013, Praha, FJFI ČVUT, pp. 41-48, 2013.
Havlíček, M., and M. Haindl, "A Moving Average Bidirectional Texture Function Model", Computer Analysis of Images and Patterns, Lecture Notes in Computer Science, vol. 8048: Springer Berlin Heidelberg, pp. 338-345, 09/2013.
Havlíček, M., "Extended Bidirectional Texture Function Moving Average Model", Doktorandské dny 2015, Praha, České vysoké učení technické v Praze, pp. 37-43, 2015.
Havlíček, M., M. Haindl, and J. Filip, "Dynamic Textures Modeling Using Temporal Mixing Coefficients Reduction", Computational Intelligence for Multimedia Understanding (IWCIM), 2014 International Workshop on, Paris, France, IEEE, pp. 1-5, 2014.
Havlíček, M., "Bidirectional Texture Function Three Dimensional Pseudo Gaussian Markov Random Field Model", Doktorandské dny 2012, Praha, České vysoké učení technické v Praze, pp. 53-62, 11/2012.
K
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.
M
Mikeš, S., and M. Haindl, The Prague Texture Segmentation Datagenerator and Benchmark, , 2008.
N
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.
P
Pudil, P., J. Novovičová, and J. Kittler, "Floating search methods in feature selection", Pattern Recognition Letters, vol. 15, pp. 1119-1125, 1994.
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.