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Monography

[1] Beran H., Bízková R., Bunček M., Burget P., Burian J., Čirličová A., Csank P., Czesaná V., Čížek B., Datel V., Doupovec M., Drábová D., Filová J., Furman J., Haindl Michal, Hajič J., Hanzlík M., Hartl M., Havelka Z., Havle O., Hlaváčková J., Holoubek J., Hrubínek T., Hýbner F., Kaminský D., Knap P., Komárek P., Komzák R., Kopicová M., Krechl J., Kubalík J., Kysela V., Lazar Josef, Mařík V., Matoušková Z., Matyáš V., McKenna S., Mišák S., Novák J., Odvářka E., Palíšek E., Pazour M., Prokš J., Proksch J., Psutka J., Radová V., Rathouský M., Růžička J., Sedláček D., Sirovátka T., Sládek O., Smrž P., Sochor P., Somol Petr, Sotona O., Straková J., Strnad Z., Svítek M., Šamanová T., Šedivý J., Šimák B., Šiser R., Tatýrek D., Václavek P., Václavík M., Valášek M., Vavřín P., Volhejn P., Vrba P., Žára J., Žídek J.: Průmysl 4.0 Výzva pro Českou republiku, Management Press, (Praha 2016)
[2] Haindl Michal, Filip Jiří: Visual Texture : Accurate Material Appearance Measurement, Representation and Modeling, Springer-Verlag London, (London 2013)
[3] Pudil Pavel: Multidisciplinární podpora managementu. Vědecký sborník VŠE v Praze, University of Economics, (Prague 2000)
[4] Novovičová Jana: Pravděpodobnost a matematická statistika, ČVUT, (Praha 1999)
[5] Kovanicová D., Kovanic Pavel: Poklady skryté v účetnictví. Díl 1,2, Polygon, (Praha 1995)

Monography Chapter

[1] Haindl Michal: Bidirectional texture function modeling , Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging : Mathematical Imaging and Vision, p. 1023-1064 , Eds: Chen Ke, Schonlieb Carola-Bibiane, Tai Xue-Cheng, Younces Laurent
[2] Grim Jiří, Somol Petr: A Statistical Review of the MNIST Benchmark Data Problem , Advances in Pattern Recognition Research, p. 172-193 , Eds: Lu T., Chao T.H.
[3] Haindl Michal, Remeš Václav: Digital Mammogram Enhancement , Mammography Techniques and Review, p. 63-78 , Eds: Fernandes Fabiano Cavalcanti, Brasil Lourdes Mattos, da Veiga Guadagnin Renato
[4] Somol Petr, Novovičová Jana, Pudil Pavel: Moderní metody výběru příznaků ve statistickém rozpoznávání , Umělá inteligence 6, p. 424-468 , Eds: Mařík V., Štěpánková O., Lažanský J.
[5] Haindl Michal: Visual Data Recognition and Modeling Based on Local Markovian Models , Mathematical Methods for Signal and Image Analysis and Representation, p. 241-259 , Eds: Florack Luc, Duits Remco, Jongbloed Geurt, Lieshout Marie-Colette, Davies Laurie
[6] Vácha Pavel, Haindl Michal: Illumination Invariants Based on Markov Random Fields , Pattern Recognition, Recent Advances, p. 253-272 , Eds: Herout A.
[7] Somol Petr, Novovičová Jana, Pudil Pavel: Efficient Feature Subset Selection and Subset Size Optimization , Pattern Recognition, Recent Advances, p. 75-98 , Eds: Herout A.
[8] Grim Jiří: Pravděpodobnostní neuronové sítě , Umělá inteligence (4), p. 276-312 , Eds: Mařík V., Štěpánková O., Lažanský J., Academia, (Praha 2003)
[9] Haindl Michal: Model-based pattern recognition , Pattern Recognition and String Matching, p. 201-236 , Eds: Chen D., Cheng X., Kluwer, (Dordrecht 2003)
[10] Pudil Pavel, Novovičová Jana, Somol Petr: Recent feature selection methods in statistical pattern recognition , Pattern Recognition and String Matching, p. 1-51 , Eds: Chen D., Cheng X., Kluwer, (Dordrecht 2003)
[11] Haindl Michal, Šimberová Stanislava: Model-based restoration of short-exposure solar images , Soft Computing Systems Design, Management and Applications, p. 697-706 , Eds: Abraham A., Ruiz-del-Solar J., Koppen M., IOS Press, (Amsterdam 2002)
[12] Haindl K., Haindl Michal: Aeration at hydraulic structures , Developments in Hydraulic Engineering - 2, p. 95-134 , Eds: Novak P., Gihodo, (Tokyo 2001)
[13] Pudil Pavel, Říhová Z.: Učící se metody rozpoznávání a jejich použití v ekonomii a managementu , Manažerské rozhledy FM 2000. Sborník příspěvků FM JU, p. 81-90, VŠE, (Praha 2001)
[14] Pudil Pavel, Novovičová Jana: Novel methods for feature subset selection with respect to problem knowledge , Feature Extraction, Construction and Selection: A Data Mining Perspective, p. 101-116 , Eds: Liu H., Motoda H., Kluwer Academic, (Boston 1998)
[15] Haindl Michal, Šimberová Stanislava: A regression model contribution to astronomical image reconstruction , Data Analysis in Astronomy, p. 303-310 , Eds: Di Gesu V., Duff M. J. B., Heck A., World Scientific, (Singapore 1997)
[16] Novovičová Jana, Pudil Pavel: Feature selection and classification by modified model with latent structure , Dealing with Complexity. A Neural Networks Approach, p. 126-138 , Eds: Kárný M., Warwick K., Kůrková V., Springer, (London 1997)

Journal Article

[1] Filip Jiří, Lukavský Jiří, Děchtěrenko Filip, Schmidt F., Fleming R. W.: Perceptual dimensions of wood materials , Journal of Vision vol.24,
[2] Vácha Pavel, Haindl Michal: Texture recognition under scale and illumination variations , Journal of Information and Telecommunication vol.8, 1 (2024), p. 130-148
[3] Žid Pavel, Haindl Michal, Havlíček Vojtěch: Governmental Anti-Covid Measures Effectiveness Detection , Procedia Computer Science vol.225, 1 (2023), p. 2922-2931, International Conference on Knowledge-Based and Intelligent Information & Engineering Systems 2023 (KES 2023) /27./, (Athens, GR, 20230906)
[4] Filip Jiří, Vilímovská Veronika: Characterization of Wood Materials Using Perception-Related Image Statistics , Journal of Imaging Science and Technology vol.67,
[5] Miklík Dalibor, Grim Jiří, Elleder Daniel, Hejnar Jiří: Unraveling the palindromic and nonpalindromic motifs of retroviral integration site sequences by statistical mixture models , Genome Research vol.33, 8 (2023), p. 1395-1408
[6] Filip Jiří, Vávra Radomír, Maile F. J.: Waviness analysis of glossy surfaces based on deformation of a light source reflection , Journal of Coatings Technology and Research vol.20, 5 (2023), p. 1703-1712
[7] Flusser M., Somol Petr: Efficient anomaly detection through surrogate neural networks , Neural Computing & Applications vol.34, 23 (2022), p. 20491-20505
[8] Dostál Petr: Almost log-optimal trading strategies for small transaction costs in model with stochastic coefficients , Kybernetika vol.58, 6 (2022), p. 903-959
[9] Mikeš Stanislav, Haindl Michal: Texture Segmentation Benchmark , IEEE Transactions on Pattern Analysis and Machine Intelligence vol.44, 9 (2022), p. 5647-5663
[10] Filip Jiří, Vávra Radomír, Kolafová Martina, Maile F. J.: Assessment of sparkle and graininess in effect coatings using a high-resolution gonioreflectometer and psychophysical studies , Journal of Coatings Technology and Research vol.18, 6 (2021), p. 1511-1530
[11] Filip Jiří, Vávra Radomír, Maile F. J., Kolafová Martina: Framework for Capturing and Editing of Anisotropic Effect Coatings , Computer Graphics Forum vol.40, 1 (2021), p. 68-80
[12] Dostál Petr, Mach Tibor: Progressive projection and log-optimal investment in the frictionless market , Theory of Stochastic Processes vol.25, 1 (2020), p. 37-77
[13] Havlíček Michal, Haindl Michal: Texture Spectral Similarity Criteria , IET Image Processing vol.13, 11 (2019), p. 1998-2007
[14] Remeš Václav, Haindl Michal: Bark recognition using novel rotationally invariant multispectral textural features , Pattern Recognition Letters vol.125, 1 (2019), p. 612-617
[15] Haindl Michal, Remeš Václav: Pseudocolor enhancement of mammogram texture abnormalities , Machine Vision and Applications vol.30, 4 (2019), p. 785-794
[16] Filip Jiří, Vávra Radomír: Image-based appearance acquisition of effect coatings , Computational Visual Media vol.5, 1 (2019), p. 73-89, Computational Visual Media 2019, (Bath, GB, 20190424)
[17] Filip Jiří, Kolafová Martina: Perceptual Attributes Analysis of Real-World Materials , ACM Transactions on Applied Perception vol.16,
[18] Filip Jiří, Vávra Radomír, Maile F. J.: Optical analysis of coatings including diffractive pigments using a high-resolution gonioreflectometer , Journal of Coatings Technology and Research vol.16, 2 (2019), p. 555-572
[19] Remeš Václav, Haindl Michal: Region of Interest Contrast Measures , Kybernetika vol.54, 5 (2018), p. 978-990
[20] Filip Jiří, Kolafová Martina, Havlíček Michal, Vávra Radomír, Haindl Michal, Rushmeier H.: Evaluating Physical and Rendered Material Appearance , Visual Computer vol.34, p. 805-816, CGI - Computer Graphics International, (Bintan, ID, 20180611)
[21] Vávra Radomír, Filip Jiří: Adaptive slices for acquisition of anisotropic BRDF , Computational Visual Media vol.4, 1 (2018), p. 55-69
[22] Grim Jiří: Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial , International Journal of Pattern Recognition and Artificial Intelligence vol.31,
[23] Filip Jiří, Vávra Radomír, Havlíček Michal, Krupička Mikuláš: Predicting Visual Perception of Material Structure in Virtual Environments , Computer Graphics Forum vol.36, 1 (2017), p. 89-100
[24] Filip Jiří, Havlíček Michal, Vávra Radomír: Adaptive highlights stencils for modeling of multi-axial BRDF anisotropy , Visual Computer vol.33, 1 (2017), p. 5-15
[25] Vávra Radomír, Filip Jiří: Minimal Sampling for Effective Acquisition of Anisotropic BRDFs , Computer Graphics Forum vol.35, 7 (2016), p. 299-309
[26] Havran V., Filip Jiří, Myszkowski K.: Perceptually Motivated BRDF Comparison using Single Image , Computer Graphics Forum vol.35, 4 (2016), p. 1-12
[27] Haindl Michal, Mikeš Stanislav: A competition in unsupervised color image segmentation , Pattern Recognition vol.57, 9 (2016), p. 136-151
[28] Maile F. J., Filip Jiří: New applications for polychromatic effect pigments , Asia Pacific Coatings Journal vol.29, 2 (2016), p. 35-38
[29] Haindl Michal, Sedláček Matěj, Vávra Radomír: Virtual Reconstruction of Cultural Heritage Artifacts , ERCIM News vol.2015, 103 (2015), p. 12-13
[30] Mikeš Stanislav, Haindl Michal, Scarpa G., Gaetano R.: Benchmarking of Remote Sensing Segmentation Methods , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing vol.8, 5 (2015), p. 2240-2248
[31] Haindl Michal, Krupička Mikuláš: Unsupervised detection of non-iris occlusions , Pattern Recognition Letters vol.57, 5 (2015), p. 60-65
[32] Haindl Michal, Mikeš Stanislav: Unsupervised Image Segmentation , IAPR Newsletter vol.36, 4 (2014), p. 23-23
[33] Filip Jiří, Vávra Radomír, Krupička Mikuláš: Rapid Material Appearance Acquisition Using Consumer Hardware , Sensors vol.14, 10 (2014), p. 19785-19805
[34] Filip Jiří, Vávra Radomír: Template-Based Sampling of Anisotropic BRDFs , Computer Graphics Forum vol.33, 7 (2014), p. 91-99, Pacific Graphics 2014, (Soul, KR, 08.10.2014-10.10.2014)
[35] Grim Jiří: Sequential pattern recognition by maximum conditional informativity , Pattern Recognition Letters vol.45, 1 (2014), p. 39-45
[36] Haindl Michal, Kittler J.: Introduction to the Special Theme Image Understanding , ERCIM News vol.95, 95 (2013), p. 9-9
[37] Filip Jiří, Vávra Radomír: Fast method of sparse acquisition and reconstruction of view and illumination dependent datasets , Computers & Graphics-Uk vol.37, 5 (2013), p. 376-388
[38] Vácha Pavel, Haindl Michal: Wood Variety Recognition on Mobile Devices , ERCIM News vol.2013, 93 (2013), p. 52-52
[39] Hatka Martin, Haindl Michal: Advanced Material Rendering in Blender , The International Journal of Virtual Reality vol.11, 2 (2012), p. 15-23
[40] Haindl Michal, Filip Jiří, Vávra Radomír: Digital Material Appearance: the Curse of Tera-Bytes , ERCIM News vol.2012, 90 (2012), p. 49-50
[41] Somol Petr, Grim Jiří, Novovičová Jana, Pudil P.: Improving feature selection process resistance to failures caused by curse-of-dimensionality effects , Kybernetika vol.47, 3 (2011), p. 401-425
[42] Mikeš Stanislav, Haindl Michal, Holub Radek: National Gallery in Prague , ERCIM News vol.2011, 86 (2011), p. 23-24
[43] Haindl Michal, Havlíček Vojtěch, Grim Jiří: Probabilistic mixture-based image modelling , Kybernetika vol.47, 3 (2011), p. 482-500
[44] Vácha Pavel, Haindl Michal: Content-Based tile Retrieval System , ERCIM News, 85 (2011), p. 45-45
[45] Vácha Pavel, Haindl Michal, Suk Tomáš: Colour and rotation invariant textural features based on Markov random fields , Pattern Recognition Letters vol.32, 6 (2011), p. 771-779
[46] Somol Petr: Feature Selection Software to Improve Accuracy and Reduce Cost in Automated Recognition Systems , ERCIM News vol.2011, 84 (2011), p. 54-54
[47] Chetverikov D., Fazekas S., Haindl Michal: Dynamic texture as foreground and background , Machine Vision and Applications vol.22, 5 (2011), p. 741-750
[48] Grim Jiří, Hora Jan, Boček Pavel, Somol Petr, Pudil Pavel: Statistical Model of the 2001 Czech Census for Interactive Presentation , Journal of Official Statistics, 4 (2010), p. 1-23
[49] Somol Petr, Novovičová Jana: Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality , IEEE Transactions on Pattern Analysis and Machine Intelligence vol.32, 11 (2010), p. 1921-1939
[50] Haindl Michal: Scientometry Leading us Astray , ERCIM News vol.2010, 82 (2010), p. 8-8
[51] Haindl Michal, Filip Jiří, Hatka Martin: Realistic Material Appearance Modelling , ERCIM News vol.2010, 81 (2010), p. 13-14
[52] Havran V., Filip Jiří, Myszkowski K.: Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization , Computer Graphics Forum vol.29, 1 (2010), p. 175-190
[53] Somol Petr, Baesens B., Pudil Pavel, Vanthienen J.: Filter- versus wrapper-based feature selection for credit scoring , International Journal of Intelligent Systems vol.20, 10 (2005), p. 985-999
[54] Novovičová Jana: Text document classification , ERCIM News, p. 53-54
[55] Haindl Michal, Mikeš Stanislav: Colour texture segmentation using modelling approach , Pattern Recognition and Image Analysis vol.3687, - (2005), p. 484-491, International Conference on Advances in Pattern Recognition /3./, (Bath, GB, 22.08.2005-25.08.2005)
[56] Haindl Michal, Filip Jiří: Modelling of authentic reflectance behaviour in virtual environments , ERCIM News, p. 49-50
[57] Grim Jiří, Somol Petr, Pudil Pavel: Probabilistic neural network playing and learning Tic-Tac-Toe , Pattern Recognition Letters vol.26, 12 (2005), p. 1866-1873
[58] Haindl Michal, Šimberová Stanislava: Restoration of multitemporal short-exposure astronomical images , Proceedings of the 14th Scandinavian Conference on Image Analysis. SCIA 2005 vol.3540, SCIA 2005 /14./, (Lappeenranta, FI, 19.06.2005-22.06.2005)
[59] Grim Jiří, Just P., Pudil Pavel: Strictly modular probabilistic neural networks for pattern recognition , Neural Network World vol.13, 6 (2003), p. 599-615
[60] Grim Jiří, Haindl Michal: Texture modelling by discrete distribution mixtures , Computational Statistics and Data Analysis vol.41, p. 603-615
[61] Somol Petr, Pudil Pavel: Feature selection toolbox , Pattern Recognition vol.35, 12 (2002), p. 2749-2759
[62] Grim Jiří, Kittler J., Pudil Pavel, Somol Petr: Multiple classifier fusion in probabilistic neural networks , Pattern Analysis and Applications vol.5, 7 (2002), p. 221-233
[63] Pudil Pavel, Novovičová Jana, Somol Petr: Feature selection toolbox software package , Pattern Recognition Letters vol.23, 4 (2002), p. 487-492
[64] Pudil Pavel, Haindl Michal: Czech Pattern Recognition Society , IAPR Newsletter vol.23, 3 (2001), p. 4-5
[65] Haindl Michal, Kittler J.: Autonomous acquisition of virtual reality models from real world scenes , Cultivate Interactive, p. 30-38
[66] Haindl Michal, Slavík P.: Image-based acquisition of virtual gallery model , ERCIM News, p. 15
[67] Haindl Michal, Havlíček Vojtěch: Colour texture modelling , ERCIM News, p. 23-24
[68] Somol Petr, Pudil Pavel: Branch & Bound algoritmus s částečným řazením uzlů výpočetního stromu , Acta Oeconomica Pragensia vol.8, 2 (2000), p. 33-40
[69] Somol Petr, Pudil Pavel: Oscilační algoritmy pro vyhledávání příznaků , Acta Oeconomica Pragensia vol.8, 2 (2000), p. 25-32
[70] Pudil Pavel, Pirožek P., Somol Petr: Výběr nejinformativnějších faktorů při akvizici podniků pomocí metod rozpoznávání obrazů , Acta Oeconomica Pragensia vol.8, 2 (2000), p. 143-159
[71] Pudil Pavel, Novovičová Jana, Somol Petr: Znalostní přístup k výběru nejinformativnějších proměnných pro rozhodovací problémy klasifikačního typu , Acta Oeconomica Pragensia vol.8, 2 (2000), p. 11-24
[72] Fuka K., Pudil Pavel: Objektová analýza a návrh systému pro podporu rozhodování. Výsledky a zhodnocení , Acta Oeconomica Pragensia vol.8, 2 (2000), p. 60-70
[73] Grim Jiří, Pudil Pavel, Somol Petr: Probabilistic information retrieval from census data based on distribution mixtures , Acta Oeconomica Pragensia vol.8, 2 (2000), p. 41-47
[74] Paclík Pavel, Novovičová Jana, Pudil Pavel, Somol Petr: Road sing classification using Laplace kernel classifier , Pattern Recognition Letters vol.21, p. 1165-1173
[75] Grim Jiří: Self-organizing maps and probabilistic neural networks , Neural Network World vol.10, 3 (2000), p. 407-415
[76] Somol Petr, Pudil Pavel, Novovičová Jana, Paclík Pavel: Adaptive floating search methods in feature selection , Pattern Recognition Letters vol.20, p. 1157-1163
[77] Grim Jiří, Vejvalková J.: An iterative inference mechanism for the probabilistic expert system PES , International Journal of General Systems vol.27, p. 373-396
[78] Grim Jiří: Mixture of experts architectures for neural networks as a special case of conditional expectation formula , Kybernetika vol.34, 4 (1998), p. 417-422
[79] Pudil Pavel, Paterson M.: 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 vol.16, 2 (1998), p. 255-262
[80] Haindl Michal, Šimberová Stanislava: A scratch removal method , Kybernetika vol.34, 4 (1998), p. 423-428
[81] Pudil Pavel, Novovičová Jana, Somol Petr, Vrňata Radislav: Conceptual base of feature selection consulting system , Kybernetika vol.34, 4 (1998), p. 451-460
[82] Pudil Pavel, Novovičová Jana: Novel methods for subset selection with respect to problem knowledge , IEEE Intelligent Systems vol.13, 2 (1998), p. 66-74
[83] Říhová Z., Pudil Pavel: Šíření a využívání informací z hlediska participativního rozhodování , Acta Oeconomica Pragensia vol.5, 1 (1997), p. 93-101
[84] Andris P., Costeira J. P., Dobrovodský K., Haindl Michal, Kittler J., Kurdel P., Santos-Victor J., Stoddart A. J.: VIRTUOUS , ERCIM News, p. 25
[85] Pudil Pavel, Haindl Michal: Statistical techniques in pattern recognition , ERCIM News, p. 57
[86] Haindl Michal, Wiedermann Jiří: ERCIM meetings in Prague , ERCIM News, p. 2-3
[87] Haindl Michal: IAPR on the Network! , IAPR Newsletter vol.18, 1 (1996), p. 5
[88] Haindl Michal: HIT Browser , ERCIM News, p. 12
[89] Haindl Michal: A new multimedia synchronization model , IEEE Journal on Selected Areas in Communications vol.14, 1 (1996), p. 73-83
[90] Haindl Michal, Šimberová Stanislava: A high - resolution radiospectrograph image reconstruction method. , Astronomy and Astrophysics Supplement Series vol.115, p. 189-193
[91] Novovičová Jana, Pudil Pavel, Kittler J.: Divergence based feature selection for multimodal class densities , IEEE Transactions on Pattern Analysis and Machine Intelligence vol.18, 1 (1996), p. 218-223
[92] Haindl Michal, de Ruiter M. M.: The MADE help system , Computer Graphics Forum vol.14, 3 (1995), p. 149-157
[93] Pudil Pavel, Novovičová Jana, Choakjarernwanit N., Kittler J.: Feature selection based on the approximation of class densities by finite mixtures of special type , Pattern Recognition vol.28, 9 (1995), p. 1389-1398

Conference Paper (international conference)

[1] Haindl Michal: Survival Modeling of Disease Consequences and Post-disease Syndromes , Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023), p. 365-374 , Eds: Su Ruidan, Zhang Yudong, Frangi Alejandro F., International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023), (Cambridge, GB, 20231209)
[2] Kříž P., Haindl Michal: Multispectral Texture Benchmark , Procedia Computer Science : Volume 225, 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023, p. 3143-3152, International Conference on Knowledge-Based and Intelligent Information & Engineering Systems 2023 (KES 2023) /27./, (Athens, GR, 20230906)
[3] Haindl Michal, Shaih N.: Texture Quality Criteria Comparison , Proceedings of the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023), IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2023 /48./, (Rhodes, GR, 20230604)
[4] Havlíček Michal, Haindl Michal: Texture Spectral Similarity Criteria Comparison , WSCG 2023 Proceedings - 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023, p. 100-106, International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2023, WSCG 2023, /31./, (Plzen, CZ, 20230515)
[5] Mikeš Stanislav, Haindl Michal: 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, p. 162-169 , Eds: Sousa A. Augusto, Bashford-Rogers Thomas, Bouatouch Kadi, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP 2023 /18./, (Lisbon, PT, 20230219)
[6] Haindl Michal, Havlíček Vojtěch: BRDF Anisotropy Criterion , Intelligent Information and Database Systems, p. 434-444 , Eds: Nguyen Ngoc Thanh, Tran Tien Khoa, Tukayev Ualsher, Hong Tzung-Pei, Trawinski Bogdan, Szczerbicki Edward, Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022) /14./, (Ho Chi Minh City, VN, 20221128)
[7] Filip Jiří, Kolafová Martina, Vávra Radomír: Perceived Effects of Reflective Translucency in 3D Printing Filaments , 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), p. 289-295, International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) 2022 /16./, (Dijon, FR, 20221019)
[8] Vácha Pavel, Haindl Michal: Textural Features Sensitivity to Scale and Illumination Variations , Advances in Computational Collective Intelligence : 14th International Conference, ICCCI 2022, p. 237-249 , Eds: Badica Costin, International Conference on Computational Collective Intelligence (ICCCI 2022) /14./, (Hammamet, TN, 20220926)
[9] Haindl Michal, Žid Pavel: Melanoma Recognition , Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, p. 722-729 , Eds: Farinella G.M., Radeva P., Bouatouch K., International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) /17./, (Setúbal - online, PT, 20220206)
[10] Havlíček Michal, Haindl Michal: Optimized Texture Spectral Similarity Criteria , Advances in Computational Collective Intelligence, p. 644-655 , Eds: Wojtkiewicz Krystian, Treur Jan, Pimenidis Elias, Maleszka Marcin, International Conference on Computational Collective Intelligence 2021 /13./, (Kallithea, Rhodes, GR, 20210929)
[11] Moudrá A., Haindl Michal: Underground Archeological Structures Detection , Advances in Computational Collective Intelligence, p. 690-702 , Eds: Wojtkiewicz Krystian, Treur Jan, Pimenidis Elias, Maleszka Marcin, International Conference on Computational Collective Intelligence 2021 /13./, (Kallithea, Rhodes, GR, 20210929)
[12] Haindl Michal, Havlíček Vojtěch: Transfer Learning of Mixture Texture Models , Computational Collective Intelligence, p. 825-837 , Eds: Nguyen N. T., Hoang B. H., Huynh C. P., Hwang D., Trawinski B., Vossen G., International Conference on Computational Collective Intelligence 2020 /12./, (Da Nang, VN, 20201130)
[13] Haindl Michal, Havlíček Vojtěch: 3D Multi-frequency Fully Correlated Causal Random Field Texture Model , Pattern Recognition, p. 423-434 , Eds: Palaiahnakote Shivakumara, Sanniti di Baja Gabriella, Wang Liang, Yan Wei Qi, The 5th Asian Conference on Pattern Recognition (ACPR 2019), (Auckland, NZ, 20191126)
[14] Haindl Michal, Žid Pavel: Coniferous Trees Needles-Based Taxonomy Classification , International Conference on Image and Vision Computing New Zealand 2019 (IVCNZ 2019), p. 1-6, Image and Vision Computing New Zealand (IVCNZ 2019) /34./, (Dunedin, NZ, 20191202)
[15] Filip Jiří, Kolafová Martina, Vávra Radomír: Perceived Effects of Static and Dynamic Sparkle in Captured Effect Coatings , The 15th International Conference on Signal Image Technology & Internet Based Systems, SITIS 2019, p. 732-737 , Eds: Kokou Yetongnon, Dipanda Albert, Sanniti di Baja Gabriella, Gallo Luigi, Chbeir Richard, International Conference on Signal-Image Technology & Internet-Based Systems 2019 /15./, (Sorrento, IT, 20191126)
[16] Mikeš Stanislav, Haindl Michal: View Dependent Surface Material Recognition , Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019), p. 156-167 , Eds: Bebis G., Boyle R., Parvin B., Koracin D., International Symposium on Visual Computing (ISVC 2019) /14./, (Lake Tahoe, US, 20191007)
[17] Haindl Michal, Havlíček Michal: Mutual Information-Based Texture Spectral Similarity Criterion , Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019), p. 302-314 , Eds: Bebis G., Boyle R., Parvin B., Koracin D., International Symposium on Visual Computing (ISVC 2019) /14./, (Lake Tahoe, US, 20191007)
[18] Filip Jiří, Kolafová Martina, Vávra Radomír: A Psychophysical Analysis of Fabricated Anisotropic Appearance , Pacific Graphics Short Papers, p. 15-20 , Eds: Lee Jehee, Theobalt Christian, Wetzstein Gordon, Pacific Graphics 2018, (Soul, KR, 20191014)
[19] Komárek T., Somol Petr: Multiple Instance Learning with Bag-Level Randomized Trees , Machine Learning and Knowledge Discovery in Databases, p. 259-272 , Eds: Berlingerio M., Bonchi F., Gärtner T., Hurley N., Ifrim G., Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), (Dublin, IE, 20180910)
[20] Filip Jiří, Vávra Radomír, Maile F. J., Eibon B.: 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), p. 683-690, 8th International Conference on Pattern Recognition Applications and Methods, (Praha, CZ, 20190219)
[21] Flusser M., Pevný T., Somol Petr: Density-Approximating Neural Network Models for Anomaly Detection , ACM SIGKDD 2018 Workshop, p. 1-8, ACM SIGKDD 2018 Workshop, (London, GB, 20180820)
[22] Kudělka Miloš, Haindl Michal: Multispectral Texture Fidelity Measure , SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, p. 658-663 , Eds: Sanniti di Baja G., Gallo L., Yetongnon K., Dipanda A., Castrillón-Santana M., Chbeir R., SITIS 2018. International Conference on Signal Image Technology & Internet Based Systems /14./, (Las Palmas de Gran Canaria, ES, 20181126)
[23] Haindl Michal, Havlíček Vojtěch: 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, p. 98-105 , Eds: Sanniti di Baja G., Gallo L., Yetongnon K., Dipanda A., Castrillón-Santana M., Chbeir R., SITIS 2018. International Conference on Signal Image Technology & Internet Based Systems /14./, (Las Palmas de Gran Canaria, ES, 20181126)
[24] Filip Jiří, Maile F. J.: In the search of an ideal measurement geometry for effect coatings , Proceedings of Pigment and Colour Science Forum 2018, Pigment and Color Science Forum, (Boston, US, 20181003)
[25] Filip Jiří, Kolafová Martina: Effects of Surface Anisotropy on Perception of Car Body Attractiveness , Pacific Graphics Short Papers, p. 17-20 , Eds: Fu Hongbo, Ghosh Abhijeet, Kopf Johannes, Pacific Graphics 2018, (Hong Kong, CN, 20181008)
[26] Filip Jiří, Kolafová Martina: Perception of Car Shape Orientation and Anisotropy Alignment , EG MAM 2018: Eurographics 2018 Workshop on Material Appearance Modeling, The Sixth Annual Eurographics Workshop on Material Appearance Modeling, (Karlsruhe, DE, 20180601)
[27] Richtr Radek, Haindl Michal: Dynamic Texture Similarity Criterion , The 24th International Conference on Pattern Recognition (ICPR 2018), p. 904-909, The 24th International Conference on Pattern Recognition (ICPR 2018), (Beijing, CN, 20180820)
[28] Haindl Michal, Havlíček Vojtěch: BTF Compound Texture Model with Non-Parametric Control Field , The 24th International Conference on Pattern Recognition (ICPR 2018), p. 1151-1156, The 24th International Conference on Pattern Recognition (ICPR 2018), (Beijing, CN, 20180820)
[29] Remeš Václav, Haindl Michal: Rotationally Invariant Bark Recognition , Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018, p. 22-31 , Eds: Bai X., Hancock E., Ho T., Wilson R., Biggio B., Robles-Kelly A., IAPR Joint International Workshop on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition, (Beijing, CN, 20180817)
[30] Komárek T., Somol Petr: End-node Fingerprinting for Malware Detection on HTTPS Data , Proceedings of the 12th International Conference on Availability, Reliability and Security (ARES'17), p. 1-7, the 12th International Conference on Availability, Reliability and Security (ARES'17), (Reggio Calabria, IT, 20170829)
[31] Filip Jiří, Vávra Radomír, Maile F. J.: BRDF Measurement of Highly-Specular Materials using a Goniometer , Proceedings of the 33rd Spring Conference on Computer Graphics , Eds: Spencer Stephen N., SCCG´17 - 33rd Spring Conference on Computer Graphics 2017, (Mikulov, CZ, 20170515)
[32] Vávra Radomír, Filip Jiří: Adaptive Measurement of Anisotropic Material Appearance , Pacific Graphics Short Papers, p. 1-6 , Eds: Barbic Jernej, Lin Wen-Chieh, Sorkine-Hornung Olga, The 25th Pacific Conference on Computer Graphics and Applications, (Taipei, TW, 20171016)
[33] Filip Jiří, Maile F. J.: Appearance Acquisition and Analysis of Effect Coatings , Proceedings of Pigment and Colour Science Forum 2017, Pigment and Colour Science Forum 2017, (Alicante, ES, 20171004)
[34] Sedláček Matěj, Haindl Michal, Formanová D.: An Automatic Tortoise Specimen Recognition , Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, p. 52-59 , Eds: Beltran-Castanon C., Nystrom I., Famili F., CIARP 2016 - 21st Iberoamerican Congress 2016, (Lima, PE, 20161108)
[35] Haindl Michal, Vácha Pavel: Scale Sensitivity of Textural Features , Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, p. 84-92 , Eds: Beltran-Castanon C., Nystrom I., Famili F., CIARP 2016 - 21st Iberoamerican Congress 2016, (Lima, PE, 20161108)
[36] Haindl Michal, Havlíček Vojtěch: Two Compound Random Field Texture Models , Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, p. 44-51 , Eds: Beltran-Castanon C., Nystrom I., Famili F., CIARP 2016 - 21st Iberoamerican Congress 2016, (Lima, PE, 20161108)
[37] Haindl Michal, Havlíček Michal: A Compound Moving Average Bidirectional Texture Function Model , Multimedia and Network Information Systems, p. 89-98 , Eds: Zgrzynowa Alexander, Choros Kazimierz, Sieminski Andrzej, Multimedia and Network Information Systems MISSI 2016 /10./, (Wroclaw, PL, 20160914)
[38] Pevný T., Somol Petr: Discriminative models for multi-instance problems with tree-structure , Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security (AISec'16), p. 83-91, the 2016 ACM Workshop on Artificial Intelligence and Security (AISec'16), (Vienna, AT, 20161028)
[39] Haindl Michal, Sedláček Matěj: Virtual reconstruction of cultural heritage artifacts , 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), p. 1-5, 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), (Reggio Calabria, IT, 20161027)
[40] Kudo M., Kimura K., Haindl Michal, Tenmoto H.: Simultaneous Visualization of Samples, Features and Multi-Labels , Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), p. 3592-3597, 23rd International Conference on Pattern Recognition ICPR 2016, (Cancún, MX, 20161204)
[41] Haindl Michal, Havlíček Vojtěch: Three-dimensional Gaussian Mixture Texture Model , Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), p. 2026-2031, 23rd International Conference on Pattern Recognition ICPR 2016, (Cancún, MX, 20161204)
[42] Grim Jiří: Feasibility Study of an Interactive Medical Diagnostic Wikipedia , SPMS 2016 Stochastic and Physical Monitoring Systems, p. 31-45, SPMS 2016 Stochastic and Physical Monitoring Systems, (Prague - Dobřichovice, CZ, 20.06.2016-24.06.2016)
[43] Kudělka Miloš, Haindl Michal: Texture fidelity criterion , Proceedings of the 2016 IEEE International Conference on Image Processing, 2016 IEEE International Conference on Image Processing (ICIP), (Phoenix, AZ, US, 25.09.2016-28.09.2016)
[44] Somol Petr, Pevný T.: Discriminative Models for Multi-instance Problems with Tree Structure , Proceedings of the 9th ACM Workshop on Artificial Intelligence and Security 2016, 9th ACM Workshop on Artificial Intelligence and Security, (Vienna, AT, 28.10.2016)
[45] Filip Jiří, Havran V., Myszkowski K.: Gaze Analysis of BRDF Distortions , Workshop on Material Appearance Modeling , Eds: Klein R., Rushmeier H., 4th Eurographics Workshop on Material Appearance Modelling (MAM), (Dublin, IE, 22.6.2016)
[46] Filip Jiří, Vávra Radomír: Using Reflectors for Analysis and Acquisition of Anisotropic BRDF , Proceedings of the 4th CIE Expert Symposium on Colour and Visual Appearance, p. 155-162, The 4th CIE Expert Symposium on Colour and Visual Appearance, (Praha, CZ, 06.09.2016-07.09.2016)
[47] Filip Jiří, Vávra Radomír, Haindl Michal: Capturing Material Visualization Data using Goniometers , Proceedings of the 4th CIE Expert Symposium on Colour and Visual Appearance, p. 121-127, The 4th CIE Expert Symposium on Colour and Visual Appearance, (Praha, CZ, 06.09.2016-07.09.2016)
[48] Havlíček Michal, Haindl Michal: Texture spectral similarity criteria , Proceedings of the 4th CIE Expert Symposium on Colour and Visual Appearance, p. 147-154, The 4th CIE Expert Symposium on Colour and Visual Appearance, (Praha, CZ, 06.09.2016-07.09.2016)
[49] Vávra Radomír, Filip Jiří: BRDF Interpolation using Anisotropic Stencils , IS&T International Symposium on Electronic Imaging 2016 , Eds: Imai F., Ortiz Segovia M., Urban P., IS&T International Symposium on Electronic Imaging 2016, Measuring, Modeling, and Reproducing Material Appearance 2016, (San Francisco, US, 14.2.2016-18.2.2016)
[50] Grim Jiří, Pudil P.: Mixtures of Product Components versus Mixtures of Dependence Trees , Computational Intelligence, p. 365-382, IJCCI 2014 - International Joint Conference on Computational Intelligence (Rome/Italy), (Rome, IT, 22.10.2014-24.10.2014)
[51] Filip Jiří: Analyzing and Predicting Anisotropic Effects of BRDFs , Proceedings of the ACM SIGGRAPH Symposium on Applied Perception, p. 25-32, ACM SIGGRAPH Symposium on Applied Perception, (Tubingen, DE, 13.09.2015-14.09.2015)
[52] Létal V., Pevný T., Šmídl Václav, Somol Petr: Finding New Malicious Domains Using Variational Bayes on Large-Scale Computer Network Data , NIPS Workshop: Advances in Approximate Bayesian Inference, p. 1-10, NIPS workshop: Advances in Approximate Bayesian Inference, (Montreal, CA, 11.12.2015)
[53] Remeš Václav, Haindl Michal: Classification of breast density in X-ray mammography , 2015 International Workshop on Computational Intelligence for Multimedia Understanding, p. 1-5, IWCIM 2015 International Workshop on Computational Intelligence for Multimedia Understanding, (Praha, CZ, 29.10.2015-30.10.2015)
[54] Richtr Radek, Haindl Michal: Dynamic Texture Editing , Proceedings of the 31st Spring Conference on Computer Graphics, p. 133-140 , Eds: Jorge Joaquim , Santos Luis Paulo, Durikovic Roman, 31st Spring Conference on Computer Graphics, (Smolenice, SK, 22.04.2015-24.04.2015)
[55] Wagner Zdeněk, Kovanic Pavel: Advanced Data Analysis for Industrial Applications , Abstracts Book, p. 5 , Eds: Antoch J., Modelling Smard Grids 2015, (Prague, CZ, 10.09.2015-11.09.2015)
[56] Filip Jiří, Somol Petr: Materials Classification using Sparse Gray-Scale Bidirectional Reflectance Measurements , Computer Analysis of Images and Patterns - CAIP 2015, p. 289-299 , Eds: Azzopardi George, Petkov Nicolai, 16th International Conference on Computer Analysis of Images and Patterns, (Valletta, MT, 02.09.2015-04.09.2015)
[57] Haindl Michal, Mikeš Stanislav, Kudo M.: Unsupervised Surface Reflectance Field Multi-segmenter , Computer Analysis of Images and Patterns - CAIP 2015, p. 261-273 , Eds: Azzopardi George, Petkov Nicolai, 16th International Conference on Computer Analysis of Images and Patterns, (Valletta, MT, 02.09.2015-04.09.2015)
[58] Haindl Michal, Vácha Pavel: Wood Veneer Species Recognition using Markovian Textural Features , Computer Analysis of Images and Patterns - CAIP 2015, p. 300-311 , Eds: Azzopardi George, Petkov Nicolai, 16th International Conference on Computer Analysis of Images and Patterns, (Valletta, MT, 02.09.2015-04.09.2015)
[59] Filip Jiří, Havlíček Michal: Adaptive Highlights Stencils for Modeling of Multi-Axial BRDF Anisotropy , Proceedings of Computer Graphics International 2015, Computer Graphics International 2015, (Strasbourg, FR, 24.6.2015-26.6.2015)
[60] Haindl Michal, Havlíček Vojtěch: Color Texture Restoration , IEEE 7th International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM), p. 13-18, 7th IEEE International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM), (Siem Reap, KH, 17.07.2015-17.07.2015)
[61] Haindl Michal, Remeš Václav, Havlíček Vojtěch: BTF Potts compound texture model , Measuring, Modeling, and Reproducing Material Appearance 2015, Electronic Imaging 2015, (San Francisco, US, 08.02.2015-12.02.2015)
[62] Filip Jiří, Vávra Radomír: Anisotropic Materials Appearance Analysis using Ellipsoidal Mirror , Measuring, Modeling, and Reproducing Material Appearance 2015, Electronic Imaging 2015, (San Francisco, US, 08.02.2015-12.02.2015)
[63] Haindl Michal, Kudělka Miloš: Texture Fidelity Benchmark , 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), International Workshop on Computational Intelligence for Multimedia Understanding 2014 (IWCIM), (Paris, FR, 01.11.2014-02.11.2014)
[64] Havlíček Michal, Haindl Michal, Filip Jiří: Dynamic Textures Modeling Using Temporal Mixing Coefficients Reduction , 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), International Workshop on Computational Intelligence for Multimedia Understanding 2014 (IWCIM), (Paris, FR, 01.11.2014-02.11.2014)
[65] Haindl Michal, Remeš Václav: Adaptive Model-Based Mammogram Enhancement , Proceedings of the Tenth International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2014, p. 65-72 , Eds: Yetongno Kokou, Dipanda Albert, Chbeir Richard, Tenth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2014), (Marrakech, MA, 23.11.2014-27.11.2014)
[66] Haindl Michal, Krupička Mikuláš: Accurate Detection of Non-Iris Occlusions , Proceedings of the Tenth International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2014, p. 49-56 , Eds: Yetongno Kokou, Dipanda Albert, Chbeir Richard, Tenth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2014), (Marrakech, MA, 23.11.2014-27.11.2014)
[67] Grim Jiří: Approximating Probability Densities by Mixtures of Gaussian Dependence Trees , Stochastic and Physical Monitoring Systems, SPMS 2014, Stochastic and Physical Monitoring Systems SPMS 2014, (Malá Skála, CZ, 23.06.2014-28.06.2014)
[68] Grim Jiří, Pudil P.: Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees , NCTA2014 - International Conference on Neural Computation Theory and Applications, p. 65-75, 6-th International Conference on Neural Computation Theory and Applications, (Rome, IT, 22.10.2014-24.10.2014)
[69] Haindl Michal, Mikeš Stanislav: Unsupervised Image Segmentation Contest , Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), p. 1484-1489, ICPR 2014 - The 22nd International Conference on Pattern Recognition, (Stockholm, SE, 24.08.2014-28.08.2014)
[70] Filip Jiří, Vávra Radomír, Havlíček Michal: Effective Acquisition of Dense Anisotropic BRDF , Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), p. 2047-2052, ICPR 2014 - The 22nd International Conference on Pattern Recognition, (Stockholm, SE, 24.08.2014-28.08.2014)
[71] Filip Jiří, Grim Jiří, Haindl Michal: A Probabilistic Approach to Rough Texture Compression and Rendering , MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding, p. 8-12, MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding, (Antalya, TR, 03.10.2013-04.10.2013)
[72] Somol Petr, Grim Jiří, Filip Jiří, Pudil P.: On Stopping Rules in Dependency-Aware Feature Ranking , Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p. 286-293, CIARP 2013, Iberoamerican Congress on Pattern Recognition /18./, (Havana, CU, 20.11.2013-23.11.2013)
[73] Haindl Michal, Richtr Radek: Dynamic Texture Enlargement , Proceedings of the 29th Spring conference on Computer Graphics (SCCG), p. 13-20, 29th Spring conference on Computer Graphics (SCCG), (Smolenice castle, SK, 01.05.2013-03.05.2013)
[74] Haindl Michal, Remeš Václav: Efficient Textural Model-Based Mammogram Enhancement , 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), p. 522-523, 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), (Porto, PT, 20.06.2013-22.06.2013)
[75] Haindl Michal, Krupička Mikuláš: Non-Iris Occlusions Detection , Biometrics: Theory, Applications and Systems (BTAS), 2013, p. 1-6, The IEEE Sixth International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2013), (Washington DC, US, 29.09.2013-02.10.2013)
[76] Havlíček Michal, Haindl Michal: A Moving Average Bidirectional Texture Function Model , Computer Analysis of Images and Patterns, p. 338-345 , Eds: Wilson Richard, Bors Adrian, Hancock Edwin, Smith William, International Conference on Computer Analysis of Images and Patterns (CAIP 2013) /15./, (York, GB, 27.08.2013-29.08.2013)
[77] Haindl Michal, Mikeš Stanislav: Unsupervised Dynamic Textures Segmentation , Computer Analysis of Images and Patterns, p. 433-440 , Eds: Wilson Richard, Bors Adrian, Hancock Edwin, Smith William, International Conference on Computer Analysis of Images and Patterns (CAIP 2013) /15./, (York, GB, 27.08.2013-29.08.2013)
[78] Filip Jiří, Vávra Radomír, Haindl Michal, Žid Pavel, Krupička Mikuláš, Havran V.: BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition , Proceedings of the 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 1468-1473, Computer Vision and Pattern Recognition, (Portland, OR, US, 23.06.2013-28.06.2013)
[79] Vávra Radomír, Filip Jiří: Registration of Multi-view Images of Planar Surfaces , 11th Asian Conference on Computer Vision ACCV, Revised Selected Papers, p. 497-509, 11th Asian Conference on Computer Vision (ACCV 2012), (Daejeon, KR, 05.11.2012-09.11.2012)
[80] Pudil P., Blažek L., Částek O., Somol P., Grim Jiří: Identification of Corporate Competitiveness Factors – Comparing Different Approaches , Proceedings of the International Conference on Management, Leadership and Governance 2013, p. 259-267, International Conference on Management, Leadership and Governance, (Bangkok, TH, 07.02.2013-08.02.2013)
[81] Zehnalova S., Kudělka Miloš, Kudělka M., Snášel V.: Comparing Two Local Methods for Community Detection in Social Networks , Proceedings of the 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN), p. 1-6, CASoN 2012. International Conference on Computational Aspects of Social Networks /4./, (Sao Carlos, BR, 21.11.2012-23.11.2012)
[82] Mikeš Stanislav, Haindl Michal, Scarpa G.: Remote Sensing Segmentation Benchmark , 2012 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), p. 1-4, IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), (Tsukuba Science City, JP, 11.11.2012)
[83] Šimberová Stanislava, Haindl Michal, Šroubek Filip: Fine Structure Recognition in Multichannel Observations , International Conference on Digital Image Computing Techniques and Applications (DICTA) 2012, p. 1-7, International Conference on Digital Image Computing Techniques and Applications (DICTA) 2012, (Fremantle, AU, 03.12.2012-05.12.2012)
[84] Haindl Michal, Remeš Václav, Havlíček Vojtěch: Potts Compound Markovian Texture Model , Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), p. 29-32, 21st International Conference on Pattern Recognition (ICPR 2012), (Tsukuba, JP, 11.11.2012-15.11.2012)
[85] Filip Jiří, Haindl Michal, Stančík J.: Predicting Environment Illumination Effects on Material Appearance , Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), p. 2075-2078, ICPR 2012 - The 21st International Conference on Pattern Recognition, (Tsukuba, JP, 11.11.2012-15.11.2012)
[86] Filip Jiří: Restoring Illumination and View Dependent Data from Sparse Samples , Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), p. 1391-1394, ICPR 2012 - The 21st International Conference on Pattern Recognition, (Tsukuba, JP, 11.11.2012-15.11.2012)
[87] Grim Jiří, Lee G. L.: Evaluation of Screening Mammograms by Local Structural Mixture Models , Stochastic and Physical Monitoring Systems SPSM 2012, p. 51-61, Stochastic and Physical Monitoring Systems, (Zlenice near Prague, CZ, 25.06.2012-30.06.2012)
[88] Haindl Michal, Havlíček Michal: Bidirectional Texture Function Simultaneous Autoregressive Model , Computational Intelligence for Multimedia Understanding, p. 149-159, MUSCLE, (Pisa, IT, 13.12.2011-15.12.2011)
[89] Vácha Pavel, Haindl Michal: Texture Recognition using Robust Markovian Features , Computational Intelligence for Multimedia Understanding, p. 126-137, MUSCLE, (Pisa, IT, 13.12.2011-15.12.2011)
[90] Filip Jiří, Vácha Pavel, Haindl Michal: Analysis of Human Gaze Interactions with Texture and Shape , Computational Intelligence for Multimedia Understanding, p. 160-171, MUSCLE, (Pisa, IT, 13.12.2011-15.12.2011)
[91] Haindl Michal, Havlíček Vojtěch: A Plausible Texture Enlargement and Editing Compound Markovian Model , Computational Intelligence for Multimedia Understanding, p. 138-148, MUSCLE, (Pisa, IT, 13.12.2011-15.12.2011)
[92] Filip Jiří, Haindl Michal: User Study of Viewing and Illumination Dependent Material Appearance , Predicting Perceptions: Proceedings of the 3rd International Conference on Appearance, p. 34-38, Predicting Perceptions: Proceedings of the 3rd International Conference on Appearance, (Edinburgh, GB, 17.04.2012-19.04.2012)
[93] Haindl Michal, Filip Jiří: Advanced textural representation of materials appearance , Proceedings of SA '11 SIGGRAPH Asia 2011 Courses, p. 1-84 , Eds: Sander P., SIGGRAPH Asia 2011, (Hong Kong, CN, 12.12.2011-15.12.2011)
[94] Hatka Martin, Haindl Michal: BTF Rendering in Blender , Proceedings of VRCAI 2011: ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications to Industry, p. 265-272, International Conference on Virtual Reality Continuum and Its Applications in Industry 2011 /10./, (Hong Kong, CN, 11.12.2011-12.12.2011)
[95] Grim Jiří: 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, p. 1-5, 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011, Barcelona, (Barcelona, ES, 25.10.2011-29.10.2011)
[96] Somol Petr, Grim Jiří, Pudil P.: 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), p. 502-509, The 2011 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2011), (Anchorage, Alaska, US, 09.10.2011-12.10.2011)
[97] Grim Jiří, Hora Jan: Computational Properties of Probabilistic Neural Networks , Artificial Neural Networks – ICANN 2010, p. 31-40 , Eds: Diamantaras K., Duch Wlodzislaw, Iliadis L.S., ICANN 2010. International Conference on Artificial Neural Networks /20./, (Thessaloniki, GR, 15.09.2010-18.09.2010)
[98] Somol Petr, Grim Jiří, Pudil Pavel: The Problem of Fragile Feature Subset Preference in Feature Selection Methods and A Proposal of Algorithmic Workaround , Proc. 2010 Int. Conf. on Pattern Recognition, p. 4396-4399, 20th International Conference on Pattern Recognition, (Istanbul, TR, 23.08.2010-26.08.2010)
[99] Grim Jiří, Somol Petr, Pudil Pavel: Digital Image Forgery Detection by Local Statistical Models , 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, p. 579-582 , Eds: Echizen Isao, Pan Jeng-Shyang, Fellner Dieter, Nouak Alexander, Kuijper Arjan, Jain Lakhmi C., 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010), (Darmstadt, DE, 15.10.2010-17.10.2010)
[100] Šimberová Stanislava, Haindl Michal, Flusser Jan: Mathematics improves astronomical image understanding , Mathematics and Astronomy: A joint Long Journey, p. 215-221 , Eds: de Leon Manuel, de Diego D.M., Ros R.M., Mathematics and astronomy: A joint long journey, (Madrid, ES, 23.11.2009-17.11.2009)
[101] Haindl Michal, Hatka Martin: Near-Regular BTF Texture Model , 20th International Conference on Pattern Recognition, p. 2114-2117, 20th International Conference on Pattern Recognition ICPR 2010, (Istanbul, TR, 23.08.2010-26.08.2010)
[102] Haindl Michal, Havlíček Vojtěch: A Compound MRF Texture Model , 20th International Conference on Pattern Recognition, p. 1792-1795, 20th International Conference on Pattern Recognition ICPR 2010, (Istanbul, TR, 23.08.2010-26.08.2010)
[103] Filip Jiří, Haindl Michal, Chantler M.J.: Gaze-Motivated Compression of Illumination and View Dependent Textures , 20th International Conference on Pattern Recognition, p. 862-865, 20th International Conference on Pattern Recognition ICPR 2010, (Istanbul, TR, 23.08.2010-26.08.2010)
[104] Vácha Pavel, Haindl Michal: Natural Material Recognition with Illumination Invariant Textural Features , 20th International Conference on Pattern Recognition, p. 858-861, 20th International Conference on Pattern Recognition ICPR 2010, (Istanbul, TR, 23.08.2010-26.08.2010)
[105] Vácha Pavel, Haindl Michal: Content-Based Tile Retrieval System , Structural, Syntactic, and Statistical Pattern Recognition, p. 434-443 , Eds: Hancock, Edwin and Wilson, Richard and Windeatt, Terry and Ulusoy, Ilkay and Escolano, Francisco , Structural, Syntactic, and Statistical Pattern Recognition, (Cesme, Izmir, TR, 18.08.2010-20.08.2010)
[106] Filip Jiří, Vácha Pavel, Haindl Michal, Green P.R.: A Psychophysical Evaluation of Texture Degradation Descriptors , Structural, Syntactic, and Statistical Pattern Recognition, p. 423-433 , Eds: Hancock, Edwin and Wilson, Richard and Windeatt, Terry and Ulusoy, Ilkay and Escolano, Francisco , Structural, Syntactic, and Statistical Pattern Recognition, (Cesme, Izmir, TR, 18.08.2010-20.08.2010)
[107] Haindl Michal, Havlíček Vojtěch, Grim Jiří: Colour Texture Representation Based on Multivariate Bernoulli Mixtures , 10th International Conference on Information Sciences, Signal Processing and their Applications, p. 578-581, 10th International Conference on Information Sciences, Signal Processing and their Applications, (Kuala Lumpur, MY, 10.05.2010-13.05.2010)
[108] Haindl Michal, Žid Pavel, Holub Radek: Range Video Segmentation , 10th International Conference on Information Sciences, Signal Processing and their Applications, p. 369-372, 10th International Conference on Information Sciences, Signal Processing and their Applications, (Kuala Lumpur, MY, 10.05.2010-13.05.2010)
[109] Somol Petr, Novovičová Jana, Pudil Pavel: Improving Sequential Feature Selection Methods Performance by Means of Hybridization , Proc. 6th IASTED Int. Conf. on Advances in Computer Science and Engineering , Eds: Rafea , Advances in Computer Science and Engineering, (Sharm El Sheikh, EG, 15.03.2010-17.03.2010)
[110] Somol Petr, Novovičová Jana, Pudil Pavel: On the Over-Fitting Problem of Complex Feature Selection Methods , Proc. 5th International Computer Engineering Conference - A better Information Society Through the e@, p. 12-17, 5th International Computer Engineering Conference - A better Information Society Through the e@, (Káhira, EG, 27.12.2009-28.12.2009)
[111] Novovičová Jana, Somol Petr, Pudil Pavel: A New Measure of Feature Selection Algorithms’ Stability , ICDMW '09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops, p. 382-387, ICDMW '09: International Conference on Data Mining Workshops, (Miami, Florida, US, 06.12.2009-09.12.2009)
[112] Haindl Michal, Hatka M.: BTF Roller , Texture 2005. Proceedings of the 4th International Workshop on Texture Analysis, p. 89-94 , Eds: Chantler M., Drbohlav O., IEEE, (Los Alamitos 2005) , International Workshop on Texture Analysis and Synthesis /4./, (Beijing, CN, 21.10.2005)
[113] Haindl Michal, Grim Jiří, Pudil Pavel, Kudo M.: A hybrid BTF model based on Gaussian mixtures , Texture 2005. Proceedings of the 4th International Workshop on Texture Analysis, p. 95-100 , Eds: Chantler M., Drbohlav O., IEEE, (Los Alamitos 2005) , International Workshop on Texture Analysis and Synthesis /4./, (Beijing, CN, 21.10.2005)
[114] Filip Jiří, Haindl Michal: Efficient image-based Bidirectional Texture Function model , Texture 2005. Proceedings of the 4th International Workshop on Texture Analysis, p. 7-12 , Eds: Chantler M., Drbohlav O., IEEE, (Los Alamitos 2005) , International Workshop on Texture Analysis and Synthesis /4./, (Beijing, CN, 21.10.2005)
[115] Novovičová Jana, Malík Antonín: Information-theoretic feature selection algorithms for text classification , Proceedings of the International Joint Conference on Neural Networks, p. 3272-3277, International Joint Conference on Neural Networks, (Montreal, CA, 31.07.2005-04.08.2005)
[116] Pudil Pavel, Somol Petr: Current feature selection techniques in pattern recognition , Proceedings of the 4th International Conference on Computer Recognition Systems, p. 53-68 , Eds: Kurzynski M., Puchala E., Wozniak M., Springer, (Heidelberg 2005) , CORES'05 /4./, (Rydzyna, PL, 22.05.2005-25.05.2005)
[117] Somol Petr, Haindl Michal: 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, p. 155-162 , Eds: Skála V., Západočeská univerzita, (Plzeň 2005) , WSCG 2005 /13./, (Plzeň, CZ, 31.01.2005-04.02.2005)
[118] Haindl Michal, Hatka M.: A roller - fast sampling-based texture synthesis algorithm , International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision. WSCG 2005. Proceedings, p. 80-83, University of West Bohemia, (Plzen 2005) , WSCG 2005 /13./, (Plzen, CZ, 31.01.2005-04.02.2005)
[119] Haindl Michal, Filip Jiří: Fast BTF texture modelling , Texture 2003. Proceedings, p. 47-52 , Eds: Chantler M., IEEE Press, (Edinburgh 2003) , International Workshop on Texture Analysis and Synthesis /3./, (Nice, FR, 17.10.2003)
[120] Grim Jiří, Somol Petr, Pudil Pavel, Just P.: Probabilistic neural network playing a simple game , Artificial Neural Networks in Pattern Recognition. Proceedings, p. 132-138 , Eds: Marinai S., Gori M., University of Florence, (Florence 2003) , IAPR TC3 Workshop 2003 /1./, (Florence, IT, 12.09.2003-13.09.2003)
[121] Novovičová Jana, Malík Antonín: Application of multinomial mixture model to text classification , Pattern Recognition and Image Analysis, p. 646-653 , Eds: Perales F. J., Campilho A. J. C., Springer, (Berlin 2003) , Iberian Conference on Pattern Recognition and Image Analysis. IbPRIA 2003 /1./, (Puerto de Andratx, ES, 04.06.2003-06.06.2003)
[122] Grim Jiří, Pudil Pavel, Somol Petr: Boosting in probabilistic neural networks , Proceedings of the 16th International Conference on Pattern Recognition, p. 136-139 , Eds: Kasturi R., Laurendeau D., Suen C., IEEE Computer Society, (Los Alamitos 2002) , International Conference on Pattern Recognition /16./, (Québec City, CA, 11.08.2002-15.08.2002)
[123] Haindl Michal, Filip Jiří: Fast restoration of colour movie scratches , Proceedings of the 16th International Conference on Pattern Recognition, p. 269-272 , Eds: Kasturi R., Laurendeau D., Suen C., IEEE Computer Society, (Los Alamitos 2002) , International Conference on Pattern Recognition /16./, (Québec City, CA, 11.08.2002-15.08.2002)
[124] Haindl Michal, Havlíček Vojtěch: A multiscale colour texture model , Proceedings of the 16th International Conference on Pattern Recognition, p. 255-258 , Eds: Kasturi R., Laurendeau D., Suen C., IEEE Computer Society, (Los Alamitos 2002) , International Conference on Pattern Recognition /16./, (Québec City, CA, 11.08.2002-15.08.2002)
[125] Haindl Michal: Recursive model-based colour image restoration , Structural, Syntactic, and Statistical Pattern Recognition. Proceedings, p. 617-626 , Eds: Caelli T., Amin A., Duin R. P. W., Springer, (Berlin 2002) , Joint IAPR International Workshops SSPR 2002 and SPR 2002, (Windsor, CA, 06.08.2002-09.08.2002)
[126] Haindl Michal, Lauschmann H.: Model-based fatigue fractographs texture analysis , Structural, Syntactic, and Statistical Pattern Recognition. Proceedings, p. 842-849 , Eds: Caelli T., Amin A., Duin R. P. W., Springer, (Berlin 2002) , Joint IAPR International Workshops SSPR 2002 and SPR 2002, (Windsor, CA, 06.08.2002-09.08.2002)
[127] Grim Jiří, Haindl Michal: A discrete mixtures colour texture model , Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis, p. 59-62 , Eds: Chantler M., HeriotWatt University, (Glasgow 2002) , Textures 2002, (Copenhagen, DK, 01.06.2002)
[128] Haindl Michal, Havlíček Vojtěch: A simple multispectral multiresolution Markov texture model , Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis, p. 63-66 , Eds: Chantler M., HeriotWatt University, (Glasgow 2002) , Texture 2002, (Copenhagen, DK, 01.06.2002)
[129] Somol Petr, Pudil Pavel, Grim Jiří: Branch & Bound algorithm with partial prediction for use with recursive and non-recursive criterion forms , Advances in Pattern Recognition - ICAPR 2001. Proceedings, p. 425-434 , Eds: Singh S., Murshed N., Kropatsch W., Springer, (Heidelberg 2001) , ICAPR /2./, (Rio de Janeiro, BR, 11.03.2001-14.03.2001)
[130] Pudil Pavel, Somol Petr: Recent advances in methodology of feature selection for statistical pattern recognition , Computer Data Analysis and Modeling. Proceedings of the Sixth International Conference, p. 163-171 , Eds: Aivazian S., Kharin Y., Rieder H., Belarussian State University, (Minsk 2001) , Computer Data Analysis and Modeling, (Minsk, BY, 10.09.2001-14.09.2001)
[131] Somol Petr, Pudil Pavel: 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, p. 91-102 , Eds: Fred A., Jain A. K., ICEIS Press, (Setúbal 2001) , PRIS 2001 /1./, (Setúbal, PT, 06.07.2001-07.07.2001)
[132] Kittler J., Pudil Pavel, Somol Petr: Advances in statistical feature selection , Advances in Pattern Recognition - ICAPR 2001. Proceedings, p. 425-434 , Eds: Singh S., Murshed N., Kropatsch W., Springer, (Heidelberg 2001) , ICAPR /2./, (Rio de Janeiro, BR, 11.03.2001-14.03.2001)
[133] Grim Jiří, Kittler J., Pudil Pavel, Somol Petr: Information analysis of multiple classifier fusion , Multiple Classifier Systems, p. 168-177 , Eds: Kittler J., Roli F., Springer, (Berlin 2001) , Multiple Classifier Systems. MCS 2001, (Cambridge, GB, 02.07.2001-04.07.2001)
[134] Paclík P., Novovičová Jana: Number of components and initialization in Gaussian mixture model for pattern recognition , Artificial Neural Nets and Genetic Algorithms. Proceedings, p. 406-409 , Eds: Kůrková J., Neruda R., Kárný M., Steele N. C., Springer, (Wien 2001) , International Conference on Artificial Neural Nets and Genetic Algorithms /5./, (Prague, CZ, 22.04.2001-25.04.2001)
[135] Kudo M., Somol Petr, Pudil Pavel, Shimbo M., Sklansky J.: Comparison of classifier-specific feature selection algorithms , Advances in Pattern Recognition, p. 677-686 , Eds: Ferri J., Inesta M. J., Amin A., Pudil P., Springer, (Berlin 2000) , Joint IAPR International Workshops SSPR 2000 and SPR 2000, (Alicante, ES, 30.08.2000-01.09.2000)
[136] Somol Petr, Pudil Pavel, Ferri F. J., Kittler J.: Fast Branch & Bound algorithm in feature selection , Proceedings of SCI 2000. The 4th World Multiconference on Systemics, Cybernetics and Informatics, p. 646-651 , Eds: Sanchez B., Pineda M. J., Wolfmann J., IIIS, (Orlando 2000) , World Multiconference on Systemics, Cybernetics and Informatics /4./, (Orlando, US, 23.07.2000-26.07.2000)
[137] Somol Petr, Pudil Pavel: Oscillating search algorithms for feature selection , Proceedings of the 15th International Conference on Pattern Recognition, p. 406-409 , Eds: Sanfeliu A., Villanueva J. J., Vanrell M., IEEE Computer Society, (Los Alamitos 2000) , International Conference on Pattern Recognition /15./, (Barcelona, ES, 03.09.2000-07.09.2000)
[138] Mayer H., Somol Petr: 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, p. 427-433, IIIS, (Orlando 2000) , World Multiconference on Systemics, Cybernetics and Informatics /4./, (Orlando, US, 23.07.2000-26.07.2000)
[139] Mayer H., Somol Petr, Huber R., Pudil Pavel: Improving statistical measures of feature subsets by conventional and evolutionary approaches , Advances in Pattern Recognition. Proceedings, p. 77-86 , Eds: Ferri J. F., Inesta M. J., Amin A., Pudil P., Springer, (Berlin 2000) , Joint IAPR International Workshops SSPR 2000 and SPR 2000, (Alicante, ES, 30.08.2000-01.09.2000)
[140] Grim Jiří, Pudil Pavel, Somol Petr: Multivariate structural Bernoulli mixtures for recognition of handwritten numerals , Proceedings of the 15th International Conference on Pattern Recognition, p. 585-589 , Eds: Sanfeliu A., Villanueva J. J., Vanrell M., IEEE Computer Society, (Los Alamitos 2000) , International Conference on Pattern Recognition /15./, (Barcelona, ES, 03.09.2000-07.09.2000)
[141] Haindl Michal: Recursive model-based image restoration , Proceedings of the 15th IAPR International Conference on Pattern Recognition, p. 346-349 , Eds: Sanfeliu A., Villanueva J. J., Vanrell M., T. Huang, IEEE Computer Society, (Los Alamitos 2000) , IAPR International Conference on Pattern Recognition /15./, (Barcelona, ES, 03.09.2000-07.09.2000)
[142] Haindl Michal: Recursive square-root filters , Proceedings of the 15th IAPR International Conference on Pattern Recognition, p. 1018-1021 , Eds: Sanfeliu A., Villanueva J. J., Vanrell M., IEEE Computer Society, (Los Alamitos 2000) , IAPR International Conference on Pattern Recognition /15./, (Barcelona, ES, 03.09.2000-07.09.2000)
[143] Haindl Michal, Havlíček Vojtěch, Žid Pavel: Automatic acquisition of planar-faced virtual models , Proceedings of the 15th IAPR International Conference on Pattern Recognition, p. 987-990 , Eds: Sanfeliu A., Villanueva J. J., Vanrell M., J.O. Eklundh, IEEE Computer Society, (Los Alamitos 2000) , IAPR International Conference on Pattern Recognition /15./, (Barcelona, ES, 03.09.2000-07.09.2000)
[144] Haindl Michal, Havlíček Vojtěch: A multiresolution causal colour texture model , Advances in Pattern Recognition. Proceedings, p. 114-122 , Eds: Ferri F. J., Inesta J. M., Amin A., Pudil P., Springer, (Berlin 2000) , Joint IAPR International Workshops SSPR 2000 and SPR 2000, (Alicante, ES, 30.08.2000-01.09.2000)
[145] Paclík P., Novovičová Jana: Road sign classification without color information , Proceedings of the 6th Annual Conference of the Advanced School for Computing and Imaging (ASCI), p. 84-90, Technische Universiteit, (Delft 2000) , Annual Conference of the Advanced School for Computing and Imaging /6./, (Lommel, BE, 14.06.2000-16.06.2000)
[146] Haindl Michal: Texture modelling , Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics, p. 634-639 , Eds: Sanchez B., Pineda J. M., Wolfmann J., Bellahsene Z., Ferri F., International Institute of Informatics and Systemics, (Orlando 2000) , World Multiconference on Systemics, Cybernetics and Informatics, (Orlando, US, 23.07.2000-26.07.2000)
[147] Grim Jiří, Kittler J., Pudil Pavel, Somol Petr: Combining multiple classifiers in probabilistic neural networks , Multiple Classifier Systems, p. 157-166 , Eds: Kittler J., Roli F., Springer, (Berlin 2000) , First International Workshop MCS 2000, (Cagliari, IT, 21.06.2000-23.06.2000)
[148] Grim Jiří, Pudil Pavel, Somol Petr: Recognition of handwritten numerals by structural probabilistic neural networks , Proceedings of the Second ICSC Symposium on Neural Computation, p. 528-534 , Eds: Bothe H., Rojas R., ICSC, (Wetaskiwin 2000) , NC 2000, (Berlin, DE, 23.05.2000-26.05.2000)
[149] Haindl Michal, Kment Š., Slavík P.: Virtual information systems , Proceedings of the 8th International Conference in Central Europe on Computer Graphics, Visualization and Interactive Digital Media '2000, p. 22-27 , Eds: Skála V., University of West Bohemia, (Plzeň 2000) , WSCG '2000. /8./, (Plzeň, CZ, 07.02.2000-10.02.2000)
[150] Haindl Michal: Edge preserving model-based image restoration , Proceedings of the Czech Pattern Recognition Workshop 2000, p. 49-54 , Eds: Svoboda T., Czech Pattern Recognition Society, (Praha 2000) , Czech Pattern Recognition Workshop 2000, (Peršlák, CZ, 02.02.2000-04.02.2000)
[151] Pudil Pavel, Fuka K., Beránek K., Dvořák P.: Potential of artificial intelligence based feature selection methods in regression models , Proceedings of the Third International Conference on Computational Intelligence and Multimedia Applications 1999, p. 159-163 , Eds: Verna B., Selvaraj H., de Carvalho A., Yao X., IEEE Computer Society Press, (Los Alamitos 1999) , International Conference on Computational Intelligence and Multimedia Applications /3./, (Delhi, IN, 23.09.1999-26.09.1999)
[152] Pudil Pavel, Fuka K., Beránek K., Dvořák P.: Use of floating search methods in regression models , Proceedings of the 17th International Conference on Mathematical Methods in Economics '99, p. 219-224 , Eds: Plešingr J., VŠE, (Praha 1999) , Mathematical Methods in Economics '99 /17./, (Jindřichův Hradec, CZ, 14.09.1999-16.09.1999)
[153] Grim Jiří, Pudil Pavel: Interactive presentation of socio-economic databases by means of probabilistic models , Proceedings of the 17th International Conference on Mathematical Methods in Economics '99, p. 103-108 , Eds: Plešingr J., VŠE, (Praha 1999) , Mathematical Methods in Economics '99 /17./, (Jindřichův Hradec, CZ, 14.09.1999-16.09.1999)
[154] Grim Jiří: Information approach to structural optimization of probabilistic neural networks , Fourth European Congress on Systems Science, p. 527-539 , Eds: Ferrer L., Caselles A., SESGE, (Valencia 1999) , European Congress on Systems Science /4./, (Valencia, ES, 20.09.1999-24.09.1999)
[155] Grim Jiří: A sequential modification of EM algorithm , Classification in the Information Age. Proceedings, p. 163-170 , Eds: Gaul W., Locarek-Junge H., Springer, (Berlin 1999) , Annual GfKl Conference /22./, (Dresden, DE, 04.03.1998-06.03.1998)
[156] Paclík Pavel, Novovičová Jana, Pudil Pavel, Somol Petr: Road sign classification using the Laplace kernel classifier , Proceedings of the 11th Scandinavian Conference on Image Analysis, p. 275-282 , Eds: Bjarne K. E., Peter J., Pattern Recognition Society Denmark, (Lyngby 1999) , SCIA '99 /11./, (Kangerlussuaq, GL, 07.06.1999-11.06.1999)
[157] Haindl Michal: Texture segmentation using recursive Markov random field parameter estimation , Proceedings of the 11th Scandinavian Conference on Image Analysis, p. 771-776 , Eds: Bjarne K. E., Peter J., Pattern Recognition Society of Denmark, (Lyngby 1999) , SCIA '99 /11./, (Kangerlussuaq, GL, 07.06.1999-11.06.1999)
[158] Pudil Pavel, Novovičová Jana, Somol Petr: Knowledge based feature selection in statistical pattern recognition , International Symposium on Pattern Recognition. "In Memoriam Pierre Devijver", p. 129-134 , Eds: Perneel Ch., Royal Military Academy, (Brussels 1999) , International Symposium on Pattern Recognition, (Brussels, BE, 12.02.1999)
[159] Haindl Michal, Havlíček Vojtěch: Colour texture modelling , Week of Doctoral Students 1998. Proceedings, p. 128-135 , Eds: Šafránková J., Matfyzpress, (Praha 1998) , WDS '98 /7./, (Praha, CZ, 09.06.1998-12.06.1998)
[160] Haindl Michal, Žid Pavel: Range image segmentation by curve grouping , Proceedings of the 7th International Workshop on Robotics in Alpe-Adria-Danube Region, p. 339-344 , Eds: Dobrovodský K., ASCO Art, (Bratislava 1998) , Robotics in Alpe-Adria-Danube Region /7./, (Smolenice, SK, 26.06.1998-28.06.1998)
[161] Haindl Michal, Havlíček Vojtěch: Multiresolution colour texture synthesis , Proceedings of the 7th International Workshop on Robotics in Alpe-Adria-Danube Region, p. 297-302 , Eds: Dobrovodský K., ASCO Art, (Bratislava 1998) , Robotics in Alpe-Adria-Danube Region /7./, (Smolenice, SK, 26.06.1998-28.06.1998)
[162] Grim Jiří, Pudil Pavel: On virtually binary nature of probabilistic neural networks , Advances in Pattern Recognition. Proceedings, p. 765-774 , Eds: Amin A., Dori D., Pudil P., Freeman H., Springer, (Berlin 1998) , Joint IAPR International Workshops SSPR'98 and SPR'98, (Sydney, AU, 11.08.1998-13.08.1998)
[163] Pudil Pavel, Novovičová Jana, Somol Petr, Vrňata Radislav: Feature selection expert - user oriented approach. Methodology and concept of the system , Advances in Pattern Recognition. Proceedings, p. 573-582 , Eds: Amin A., Dori D., Pudil P., Freeman H., Springer, (Berlin 1998) , Joint IAPR International Workshops SSPR'98 and SPR'98, (Sydney, AU, 11.08.1998-13.08.1998)
[164] Haindl Michal: Unsupervised texture segmentation , Advances in Pattern Recognition. Proceedings, p. 1021-1028 , Eds: Amin A., Dori D., Pudil P., Freeman H., Springer, (Berlin 1998) , Joint IAPR International Workshops SSPR'98 and SPR'98, (Sydney, AU, 11.08.1998-13.08.1998)
[165] Novovičová Jana: Approximation of Bayes classifier using t-mixtures , Preprints of the 3rd European IEEE Workshop on Computer-Intensive Methods in Control and Data Processing, p. 247-252 , Eds: Rojíček J., Valečková M., Kárný M., Warwick K., ÚTIA AV ČR, (Praha 1998) , CMP'98 /3./, (Praha, CZ, 07.09.1998-09.09.1998)
[166] Grim Jiří: 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, p. 205-210 , Eds: Rojíček J., Valečková M., Kárný M., Warwick K., ÚTIA AV ČR, (Praha 1998) , CMP'98 /3./, (Praha, CZ, 07.09.1998-09.09.1998)
[167] Grim Jiří, Novovičová Jana, Pudil Pavel, Somol Petr, Ferri F. J.: Initializing normal mixtures of densities , Proceedings of the 14th International Conference on Pattern Recognition, p. 886-890 , Eds: Jain A. K., Venkatesh S., Lovell B. C., IEEE, (Los Alamitos 1998) , ICPR '98 /14./, (Brisbane, AU, 16.08.1998-20.08.1998)
[168] Haindl Michal, Žid Pavel: Fast segmentation of plannar surfaces in range images , Proceedings of the 14th International Conference on Pattern Recognition, p. 985-987 , Eds: Jain A. K., Venkatesh S., Lovell B. C., IEEE, (Los Alamitos 1998) , ICPR '98 /14./, (Brisbane, AU, 16.08.1998-20.08.1998)
[169] Pudil Pavel, Říhová Z.: Potential of floating search methods for managing redundant information , Proceedings of the 4th Interdisciplinary Information Management Talks, p. 72-81 , Eds: Chroust G., Douček P., R.Oldenbourg, (München 1997) , IDIMT'96 /4./, (Zadov, CZ, 16.10.1996-18.10.1996)
[170] Pudil Pavel, Fuka K., Plešingr J., Somol Petr, Vrňata Radislav: 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, p. 41-49 , Eds: Plešingr J., FM JU, (Jindřichův Hradec 1997) , Workshop '97 - Grant VS 96063, (Jindřichův Hradec, CZ, 12.11.1997-13.11.1997)
[171] Pudil Pavel, Říhová Z.: Participativní rozhodování z hlediska chování manažérů a distribuce informací. Vybrané výsledky mezinárodní studie , Manažerské rozhledy '96. Sborník prací FM JU, p. 33-34, FM JU, (Jindřichův Hradec 1997)
[172] Říhová Z., Pudil Pavel: Manažérské chování z hlediska participativního rozhodování. Vybrané výsledky mezinárodní studie , Systémové přístupy '96. Sborník, p. 105-112 , Eds: Rosický A., Mildeová J., VŠE, (Praha 1997) , Systémové přístupy '96, (Praha, CZ, 12.05.1996)
[173] Somol Petr: 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, p. 85-91 , Eds: Plešingr J., Fakulta managementu JU, (Jindřichův Hradec 1997) , Workshop '97 - Grant VS 96063, (Jindřichův Hradec, CZ, 12.11.1997-13.11.1997)
[174] Pudil Pavel, Novovičová Jana, Somol Petr, Vrňata Radislav: User oriented approach to feature selection in statistical pattern recognition , Multidisciplinární přístupy k podpoře rozhodování v ekonomii a managementu. Workshop '97 grantu VS 96063, p. 15-26 , Eds: Plešingr J., Fakulta managementu JU, (Jindřichův Hradec 1997) , Workshop '97 - Grant VS 96063, (Jindřichův Hradec, CZ, 12.11.1997-13.11.1997)
[175] Haindl Michal, Žid Pavel: A range image segmentation method , Week of Doctoral Students 1997. Proceedings, p. 115-121 , Eds: Šafránková J., MFF UK, (Praha 1997) , WDS '97, (Praha, CZ, 24.06.1997-27.06.1997)
[176] Kittler J., Stoddart A. J., Santos-Victor J., Costeira J. P., Haindl Michal, Dobrovodský K., Andris P., Kurdel P.: Virtuous: Autonomous acquisition of virtual reality models from real world scenes , International Workshop on Robotics in Alpe-Adria-Danube Region, p. 487-492 , Eds: Ceccarelli M., Studio 22 Edizion, (Cassino 1997) , RAAD '97 /6./, (Cassino, IT, 26.06.1997-28.06.1997)
[177] Haindl Michal, Žid Pavel: Fast segmentation of range images , Images Analysis and Processing, p. 295-302 , Eds: Del Bimbo A., Springer, (Berlin 1997) , International Conference on Image Analysis and Processing, (Florence, IT, 17.09.1997-19.09.1997)
[178] Haindl Michal, Šimberová Stanislava: A scratch removal method , Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, p. 61-66 , Eds: Pudil P., Novovičová J., Grim J., ÚTIA AV ČR, (Praha 1997) , STIPR '97 /1./, (Prague, CZ, 09.06.1997-11.06.1997)
[179] Pudil Pavel, Novovičová Jana, Somol Petr, Vrňata Radislav: Conceptual base of feature selection consulting system , Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, p. 125-134 , Eds: Pudil P., Novovičová J., Grim J., ÚTIA AV ČR, (Praha 1997) , STIPR '97 /1./, (Prague, CZ, 09.06.1997-11.06.1997)
[180] Grim Jiří: 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, p. 55-60 , Eds: Pudil P., Novovičová J., Grim J., ÚTIA AV ČR, (Praha 1997) , STIPR '97 /1./, (Prague, CZ, 09.06.1997-11.06.1997)
[181] Haindl Michal, Žid Pavel: A range image segmentation method , Czech Pattern Recognition Workshop '97. Proceedings, p. 69-76 , Eds: Pajdla T., Czech Pattern Recognition Society, (Praha 1997) , Czech Pattern Recognition Workshop '97, (Milovy, CZ, 17.02.1997-20.02.1997)
[182] Pudil Pavel, Říhová Z.: Potential of floating search methods for managing redundant information , IDIMT '96. 4th Interdisciplinary Information Management Talks. Proceedings, p. 72-81 , Eds: Chroust G., Doucek P., R.Oldenbourg, (München 1996) , IDIMT '96, (Zadov, CZ, 16.10.1996-18.10.1996)
[183] Grim Jiří: Design of multilayer neural networks by information preserving transforms , Third European Congress on Systems Science, p. 977-982 , Eds: Pessa E., Penna M. P., Montesanto A., Edizioni Kappa, (Roma 1996) , European Congress on Systems Science /3./, (Rome, IT, 01.10.1996-04.10.1996)
[184] Novovičová Jana, Pudil Pavel, Somol Petr: 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, p. 217-222 , Eds: Berec L., Rojíček J., Kárný M., Warwick K., ÚTIA AV ČR, (Praha 1996) , European IEEE Workshop CMP'96 /2./, (Prague, CZ, 28.08.1996-30.08.1996)
[185] Grim Jiří: Maximum-likelihood design of layered neural networks , International Conference on Pattern Recognition. Proceedings, p. 85-89, IEEE Computer Society Press, (Los Alamitos 1996) , Conference on Pattern Recognition /13./, (Vienna, AT, 25.08.1996-29.08.1996)
[186] Haindl Michal, Šimberová Stanislava: Adaptive reconstruction method of multispectral images , International Archives of Photogrammetry and Remote Sensing, p. 809-814 , Eds: Kraus K., ISPRS, (Vienna 1996) , Congress of ISPRS /18./, (Vienna, AU, 09.07.1996-19.07.1996)
[187] Ferri F. J., Albert J., Gracia I., Pla F., Pudil Pavel, Novovičová Jana: Hierarchical feature selection: A decision tree based approach , Intelligent Feature Selection: Statistical and Neural Approaches, p. 7-8, University of Sussex, (Brighton 1996) , AISB '96 Workshop and Tutorial Programme, (Brighton, GB, 01.04.1996)
[188] Pudil Pavel, Novovičová Jana, Ferri F. J.: New tools for knowledge guided approach to feature selection in statistical pattern recognition , Intelligent Feature Selection: Statistical and Neural Approaches, p. 1-4, University of Sussex, (Brighton 1996) , AISB '96 Workshop and Tutorial Programme, (Brighton, GB, 01.04.1996)
[189] Haindl Michal, Šimberová Stanislava: A multi-model image line reconstruction , Computer Analysis of Image and Patterns, p. 735-740 , Eds: Hlaváč V., Šára R., Springer, (Berlin 1995) , CAIP '95, (Prague, CZ, 06.09.1995-08.09.1995)
[190] Kolář Pavel: Regulární celulární systémy pro simulaci chování biologických buněčných tkání , Computer Science, p. 229-235 , Eds: Vondrák I., Štefan J., Technical University, (Ostrava 1995) , Computer Science, (Ostrava, CZ, 05.09.1995-07.09.1995)
[191] Pudil Pavel, Novovičová Jana, Ferri F. J., Kittler J.: Advances in the statistical methodology for the selection of image descriptors for visual pattern representation and classification , Computer Analysis of Images and Patterns, p. 832-837 , Eds: Hlaváč V., Šára R., Springer, (Berlin 1995) , CAIP '95, (Prague, CZ, 06.09.1995-08.09.1995)
[192] Jeníček T., Vostrý Zdeněk, Záworka Jiří: Future SIMONE developments in optimum control , Proceedings of the SIMONE Congress '95, p. 82-93, LIWACOM, (Essen 1995) , SIMONE Congress '95, (Espoo, FI, 24.05.1995-26.05.1995)
[193] Vostrý Zdeněk, Záworka Jiří: Heat dynamics in gas transport , Proceedings of the SIMONE Congress '95, p. 64-75, LIWACOM, (Essen 1995) , SIMONE Congress '95, (Espoo, FI, 24.05.1995-26.05.1995)
[194] Vostrý Zdeněk: Estimation of quality tracking accuracy for billing purposes , Proceedings of the SIMONE Congress '95, p. 34-43, LIWACOM, (Essen 1995) , SIMONE Congress '95, (Espoo, FI, 24.05.1995-26.05.1995)
[195] Vostrý Zdeněk, Jeníček T.: State reconstruction for gas networks , Proceedings of the SIMONE Congress '95, p. 18-33, LIWACOM, (Essen 1995) , SIMONE Congress '95, (Espoo, FI, 24.05.1995-26.05.1995)
[196] Záworka Jiří: Survey on SIMONE achievements to date and development trends , Proceedings of the SIMONE Congress '95, p. 1-12, LIWACOM, (Essen 1995) , SIMONE Congress '95, (Espoo, FI, 24.05.1995-26.05.1995)
[197] Novovičová Jana, Pudil Pavel, Kittler J.: Feature selection based on divergence for empirical class densities , Proceedings of the 9th Scandinavian Conference on Image Analysis, p. 989-996 , Eds: Borgefors G., SSAB, (Uppsala 1995) , Scandinavian Conference on Image Analysis /9./, (Uppsala, SE, 06.06.1995-09.06.1995)

Conference Paper (Czech conference)

[1] Filip Jiří, Kolafová Martina: On Visual Attractiveness of Anisotropic Effect Coatings , Proceedings of the 7th Workshop on Material Appearance Modeling , Eds: Klein Reinhard, Rushmeier Holly, Annual Workshop on Material Appearance Modeling 2019 /7./, (Strasbourg, FR, 20190709)
[2] Havlíček Michal: Extended Bidirectional Texture Function Moving Average Model , Doktorandské dny 2015, p. 1-7 , Eds: Ambrož Petr, Masáková Zuzana, Doktorandské dny 2015, (Praha, CZ, 20.11.2015,27.11.2015)
[3] Havlíček Michal: Dynamic Texture Modelling and Editing Using Temporal Mixing Coefficients Reduction , Doktorandské dny, p. 7-16 , Eds: Ambrož P., Masáková Z., Doktorandské dny 2014, (Praha, CZ, 14.11.2014)
[4] Havlíček Michal: Dynamic Textures Modelling with Temporal Mixing Coefficients Approximation , Doktorandské dny 2013, p. 41-48, Doktorandské dny 2013 FJFI oboru Matematické inženýrství, (Praha, CZ, 15.11.2013)
[5] Havlíček Michal: Bidirectional Texture Function Three Dimensional Pseudo Gaussian Markov Random Field Model , Doktorandské dny 2012, p. 53-62, Doktorandské dny 2012, (Praha, CZ, 16.11.2012-23.11.2012)
[6] Kudělka Miloš: Image Quality Assessment , WDS'12 Proceedings of Contributed Papers, p. 94-99 , Eds: Šafránková J., Pavlů J., WDS'12, (Praha, CZ, 29.05.2012-01.06.2012)
[7] Havlíček Michal: MSAR BTF Model , Doktorandské Dny 2011, p. 47-56 , Eds: Ambrož Petr, Masáková Zuzana, Doktorandské Dny 2011, (Praha, CZ, 11.11.2011-25.11.2011)
[8] Kratochvíl Václav, Kružík H., Tůma P., Vomlel Jiří, Somol Petr: Predikce hospitalizační mortality u akutního infarktu myokardu , Sborník příspěvků MEDSODFT 2011, p. 128-138, MEDSOFT 2011, (Roztoky u Prahy, CZ, 29.03.2011-30.03.2011)
[9] Vácha Pavel: Texture similarity measure , WDS'05 Proceedings of Contributed Papers, p. 47-52 , Eds: Šafránková J., MATFYZPRESS, (Praha 2005) , Annual Conference of Doctoral Students /14./, (Praha, CZ, 07.06.2005-10.06.2005)
[10] Mikeš Stanislav, Haindl Michal: Multispectral texture segmentation , WDS '03 Proceedings of Contributed Papers, p. 221-225 , Eds: Šafránková J., MFF UK, (Praha 2003) , Week of Doctoral Students 2003. WDS'03, (Praha, CZ, 10.06.2003-13.06.2003)
[11] Novovičová Jana, Malík Antonín: Application of finite mixtures to text document classification , Znalosti 2003. Sborník příspěvků 2. ročníku konference, p. 23-32 , Eds: Svátek V., VŠB, (Ostrava 2003) , Znalosti 2003 /2./, (Ostrava, CZ, 19.02.2003-21.02.2003)
[12] Pudil Pavel: Využití učících se metod rozpoznávání pro podporu rozhodování v klinické praxi i ve zdravotní péči , Systémy na podporu rozhodování ve zdravotnictví, p. -, FM VŠE, (Jindřichův Hradec 1998) , Systémy na podporu rozhodování ve zdravotnictví, (Jindřichův Hradec, CZ, 02.06.1998)
[13] Pudil Pavel: Management znalostí , Systémy na podporu rozhodování ve zdravotnictví, p. -, FM VŠE, (Jindřichův Hradec 1998) , Systémy na podporu rozhodování ve zdravotnictví, (Jindřichův Hradec, CZ, 02.06.1998)

Proceedings (international conference)

[1] Ferri F. J., Inesta J. M., Amin A., Pudil Pavel: Advances in Pattern Recognition, Springer, (Berlin 2000) , Joint IAPR International Workshops SSPR 2000 and SPR 2000, (Alicante, ES, 30.08.2000-01.09.2000)
[2] Amin A., Dori D., Pudil Pavel, Freeman H.: Advances in Pattern Recognition. Proceedings, Springer, (Berlin 1998) , Joint IAPR International Workshops SSPR'98 and SPR'98, (Sydney, AU, 11.08.1998-13.08.1998)
[3] Pudil Pavel, Novovičová Jana, Grim Jiří: Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, ÚTIA AV ČR, (Praha 1997) , STIPR '97 /1./, (Prague, CZ, 09.06.1997-11.06.1997)

Abstract

[1] Filip Jiří, Děchtěrenko Filip: Exploration of Core Material Appearance Features , Appamat/IS&T International Workshop on Material Appearance, IS&T/Appamat International Workshop on Material Appearance, (Paris, FR, 20231113)
[2] Malík Antonín: Mixture models for learning text document classifiers. Abstract , Proceedings of the 4th International PhD Workshop Information Technologies & Control. Young Generation Viewpoint, p. 6 , Eds: Belda K., ÚTIA AV ČR, (Praha 2003) , International PhD Workshop Information Technologies & Control /4./, (Libverda, CZ, 16.09.2003-20.09.2003)
[3] Grim Jiří, Haindl Michal: A mixture-based colour texture model. Abstract , Recent Developments in Mixture Modelling. Abstracts, p. 58 , Eds: Bohning D., Seidel W., Universität der Bundeswehr, (Hamburg 2001) , Mixtures 2001, (Hamburg, DE, 23.07.2001-28.07.2001)
[4] Grim Jiří: The models of conditional independence: Finite mixtures of product components and their application. Abstract , Recent Developments in Mixture Modelling. Abstracts, p. 59 , Eds: Boehning D., Seidel W., Universität der Bundeswehr, (Hamburg 2001) , Mixtures 2001, (Hamburg, DE, 23.07.2001-28.07.2001)

Thesis

[1] Vávra Radomír: Adaptive Measurement of Material Appearance, FIT ČVUT, (Praha 2017)
[2] Mikeš Stanislav: Image Segmentation, MFF UK, (Praha 2010)
[3] Vácha Pavel: Query by Pictorial Example, MFF UK, (Praha 2010)
[4] Havlíček Vojtěch: Colour Texture Modelling. Ph.D. Thesis, ( 2003)
[5] Novovičová Jana: Statistical Pattern Recognition: Methods for Feature Selection. Habilitation Thesis, ( 2001)
[6] Haindl Michal: Markovian Image Models. Habilitation Thesis, ( 2001)
[7] Somol Petr: Algoritmy a programová realizace řešení problémů redukce vysoké dimenzionality vstupních dat ve statistickém rozpoznávání obrazů. Doktorská disertační práce, ( 2000)
[8] Haindl Michal: Markovian Image Models. DrSc. Dissertation, ( 1999)
[9] Kovanic Pavel: Gnostická teorie neurčitých dat. Doktorská disertační práce, ÚTIA ČSAV, (Praha 1990)

Internal Report

[1] Haindl Michal, Šimberová Stanislava: Restoration of Multitemporal Short-Exposure Astronomical Images, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/8
[2] Somol Petr, Haindl Michal: Novel Path Search Algorithm for Image Stitching and Advanced Texture Tiling, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/5
[3] Haindl Michal, Hatka M.: A Roller - Fast Sampling-Based Texture Synthesis Algorithm, ÚTIA AV ČR, (Praha 2005) Internal Publication 2005/4

Research Report

[1] Grim Jiří: Unsupervised Verification of Fake News by Public Opinion, UTIA, (Praha 2021) Research Report 2390
[2] Grim Jiří: Platební regulační mechanismus jako zdroj zvyšování platů ve zdravotnictví, ÚTIA AV ČR v.v.i, (Praha 2018) Research Report 2373
[3] Grim Jiří: Vyhodnocování grantové soutěže pomocí otevřené expertní databáze, ÚTIA AV ČR v.v.i, (Praha 2018) Research Report 2371
[4] Filip Jiří, Maile F. J.: Appearance Acquisition and Analysis of Effect Coatings, ÚTIA AV ČR v.v.i, (Praha 2017) Research Report 2364
[5] Filip Jiří, Vávra Radomír, Krupička Mikuláš: A Portable Setup for Fast Material Appearance Acquisition, ÚTIA AV ČR, (Praha 2014) Research Report 2342
[6] Vávra Radomír, Filip Jiří, Somol P.: A Comparison of Adaptive Sampling and Interpolation of 2D BRDF Subspaces, ÚTIA AV ČR, (Praha 2013) Research Report 2339
[7] Filip Jiří: Towards Effective Measurement and Interpolation of Bidirectional Texture Functions, ÚTIA AV ČR, v.v.i, (Praha 2011) Research Report 2298
[8] Somol Petr, Grim Jiří: Fast Dependency-Aware Feature Selection in Very-High-Dimensional Pattern Recognition Problems, ÚTIA AV ČR, v.v.i, (Praha 2011) Research Report 2295
[9] Somol Petr, Vácha Pavel, Mikeš Stanislav, Hora Jan, Pudil Pavel, Žid Pavel: Introduction to Feature Selection Toolbox 3 – The C++ Library for Subset Search, Data Modeling and Classification, ÚTIA, (Praha 2010) Research Report 2287
[10] Somol Petr, Pudil Pavel: Sequential Retreating Search Methods in Feature Selection, ÚTIA, (Praha 2010) Research Report 2286
[11] Somol Petr, Novovičová Jana, Pudil Pavel, Kittler J.: Feature Selection - A Very Compact Survey Over the Diversity of Existing Approaches, ÚTIA AV ČR, v.v.i, (Praha 2010) Research Report 2285
[12] Meseth J., Degener P., Klein R., Haindl Michal, Filip Jiří, Somol Petr: Texture Synthesis on Surfaces, ÚTIA AV ČR, (Praha 2005) Research Report 2141
[13] Haindl Michal, Filip Jiří, Somol Petr: Texturing Library - Reference Manual, ÚTIA AV ČR, (Praha 2005) Research Report 2142
[14] Haindl Michal, Filip Jiří, Somol Petr, Meseth J.: BTF Parametric Database, ÚTIA AV ČR, (Praha 2003) Research Report 2090
[15] Haindl Michal, Klein R., Filip Jiří, Somol Petr, Meseth J.: Specification and Prototype Description of BTF Database and Model, ÚTIA AV ČR, (Praha 2003) Research Report 2076
[16] Haindl Michal, Filip Jiří, Somol Petr: Specification and Prototype Description of Texture Model, ÚTIA AV ČR, (Praha 2002) Research Report 2075
[17] Novovičová Jana, Malík Antonín: Text Document Classification Using Finite Mixtures, ÚTIA AV ČR, (Praha 2002) Research Report 2063
[18] Haindl Michal, Filip J.: A Fast Model-Based Restoration of Colour Movie Scratches, ÚTIA AV ČR, (Praha 2001) Research Report 2031
[19] Grim Jiří, Haindl Michal: A Monospectral Probabilistic Discrete Mixture Texture Model, ÚTIA AV ČR, (Praha 2001) Research Report 2018
[20] Grim Jiří: Latent Structure Analysis for Categorical Data, ÚTIA AV ČR, (Praha 2001) Research Report 2019
[21] Haindl Michal: Recursive Square-Root Filters, ÚTIA AV ČR, (Praha 2000) Research Report 1980
[22] Haindl Michal: Image Restoration, ÚTIA AV ČR, (Praha 1999) Research Report 1967
[23] Haindl Michal, Žid Pavel: Scene Segmentation III, ÚTIA AV ČR, (Praha 1999) Research Report 1966
[24] Haindl Michal, Havlíček Vojtěch: Texture Synthesis II, ÚTIA AV ČR, (Praha 1999) Research Report 1965
[25] Haindl Michal, Havlíček Vojtěch: Texture Mapping II, ÚTIA AV ČR, (Praha 1999) Research Report 1962
[26] Haindl Michal, Havlíček Vojtěch, Žid Pavel: Shape and Texture Data Fusion II, ÚTIA AV ČR, (Praha 1999) Research Report 1958
[27] Grim Jiří: Pravděpodobnostní neuronové sítě, ÚTIA AV ČR, (Praha 1999) Research Report 1953
[28] Haindl Michal: Texture Mapping, ÚTIA AV ČR, (Praha 1998) Research Report 1942
[29] Haindl Michal, Žid Pavel: Scene Segmentation II, ÚTIA AV ČR, (Praha 1998) Research Report 1944
[30] Haindl Michal: Shape and Texture Data Fusion, ÚTIA AV ČR, (Praha 1998) Research Report 1941
[31] Haindl Michal, Havlíček Vojtěch: Texture Synthesis, ÚTIA AV ČR, (Praha 1998) Research Report 1943
[32] Haindl Michal, Žid Pavel: Scene Segmentation, ÚTIA AV ČR, (Praha 1997) Research Report 1940
[33] Haindl Michal, Havlíček Vojtěch: Prototype Implementation of the Texture Analysis Objects, ÚTIA AV ČR, (Praha 1997) Research Report 1939
[34] Haindl Michal, Havlíček Vojtěch: Texture Analysis, ÚTIA AV ČR, (Praha 1997) Research Report 1938
[35] Schlesinger Michail I.: Identifikacija statističeskich parametrov v odnoj modeli uslovnoj nezavisimosti, ÚTIA AV ČR, (Praha 1997) Research Report 1895
[36] Grim Jiří: Maximum-Likelihood Structuring of Probabilistic Neural Networks, ÚTIA AV ČR, (Praha 1997) Research Report 1894
[37] Grim Jiří: An Alternative Design of Mixture of Experts Architectures for Neural Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1883
[38] Grim Jiří: Discretization in Probabilistic Neural Networks with Bounded Information Loss, ÚTIA AV ČR, (Praha 1996) Research Report 1878
[39] Grim Jiří, Vavruška D.: Probabilistic Knowledge-based Models Defined by Finite Distribution Mixtures, ÚTIA AV ČR, (Praha 1996) Research Report 1873
[40] Grim Jiří, Vejvalková J.: An Interative Inference Mechanism for the Probabilistic Expert System PES, ÚTIA AV ČR, (Praha 1996) Research Report 1866
[41] Haindl Michal: Multimedia Synchronization, CWI, (Amsterdam 1995) Research Report R9538
[42] Haindl Michal, de Ruiter M. M.: The MADE Help System, CWI, (Amsterdam 1995) Research Report R9528

Other

[1] Haindl Michal: ERCIM News no.80 - Digital Preservation, ( 2010)

Book Review

[1] Novovičová Jana: [Recenze] , IAPR Newsletter vol.18, 3 (1996), p. 5