Pavel Pudil

Petr Somol, Jiri Grim, Pavel Pudil: Fast dependency-aware feature selection in very-high-dimensional pattern recognition. SMC 2011: 502-509

Petr Somol, Jiri Grim, Pavel Pudil: The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround. ICPR 2010: 4396-4399

Jiri Grim, Petr Somol, Pavel Pudil: Digital Image Forgery Detection by Local Statistical Models. IIH-MSP 2010: 579-582

Jana Novovicová, Petr Somol, Pavel Pudil: A New Measure of Feature Selection Algorithms' Stability. ICDM Workshops 2009: 382-387

Michal Haindl, Stanislav Mikes, Pavel Pudil: Unsupervised Hierarchical Weighted Multi-segmenter. MCS 2009: 272-282

Petr Somol, Jiri Grim, Pavel Pudil: Criteria Ensembles in Feature Selection. MCS 2009: 304-313

Petr Somol, Jana Novovicová, Pavel Pudil: Are Better Feature Selection Methods Actually Better? - Discussion, Reasoning and Examples. HEALTHINF (1) 2008: 246-253

Petr Somol, Jana Novovicová, Jiri Grim, Pavel Pudil: Dynamic Oscillating Search algorithm for feature selection. ICPR 2008: 1-4

Jana Novovicová, Petr Somol, Michal Haindl, Pavel Pudil: Conditional Mutual Information Based Feature Selection for Classification Task. CIARP 2007: 417-426

Jiri Grim, Petr Somol, Michal Haindl, Pavel Pudil: Color Texture Segmentation by Decomposition of Gaussian Mixture Model. CIARP 2006: 287-296

Jana Novovicová, Petr Somol, Pavel Pudil: Oscillating Feature Subset Search Algorithm for Text Categorization. CIARP 2006: 578-587

Jiri Grim, Michal Haindl, Petr Somol, Pavel Pudil: A Subspace Approach to Texture Modelling by Using Gaussian Mixtures. ICPR (2) 2006: 235-238

Petr Somol, Pavel Pudil: Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms. ICPR (2) 2006: 736-739

Petr Somol, Jana Novovicová, Pavel Pudil: Flexible-Hybrid Sequential Floating Search in Statistical Feature Selection. SSPR/SPR 2006: 632-639

Petr Somol, Bart Baesens, Pavel Pudil, Jan Vanthienen: Filter- versus wrapper-based feature selection for credit scoring. Int. J. Intell. Syst. 20(10): 985-999 (2005)

Jiri Grim, Petr Somol, Pavel Pudil: Probabilistic neural network playing and learning Tic-Tac-Toe. Pattern Recognition Letters 26(12): 1866-1873 (2005)

Pavel Pudil, Petr Somol: Current Feature Selection Techniques in Statistical Pattern Recognition. CORES 2005: 53-68

Petr Somol, Pavel Pudil, Josef Kittler: Fast Branch & Bound Algorithms for Optimal Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 26(7): 900-912 (2004)

Michal Haindl, Jiri Grim, Petr Somol, Pavel Pudil, Mineichi Kudo: A Gaussian Mixture-Based Colour Texture Model. ICPR (3) 2004: 177-180

Petr Somol, Pavel Pudil, Jiri Grim: On Prediction Mechanisms in Fast Branch & Bound Algorithms. SSPR/SPR 2004: 716-724

Jana Novovicová, Antonín Malík, Pavel Pudil: Feature Selection Using Improved Mutual Information for Text Classification. SSPR/SPR 2004: 1010-1017

Jiri Grim, Josef Kittler, Pavel Pudil, Petr Somol: Multiple Classifier Fusion in Probabilistic Neural Networks. Pattern Anal. Appl. 5(2): 221-233 (2002)

Petr Somol, Pavel Pudil: Feature selection toolbox. Pattern Recognition 35(12): 2749-2759 (2002)

Pavel Pudil, Jana Novovicová, Petr Somol: Feature selection toolbox software package. Pattern Recognition Letters 23(4): 487-492 (2002)

Jiri Grim, Pavel Pudil, Petr Somol: Boosting in Probabilistic Neural Networks. ICPR (2) 2002: 136-139

Petr Somol, Pavel Pudil, Jiri Grim: Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms. ICAPR 2001: 230-239

Josef Kittler, Pavel Pudil, Petr Somol: Advances in Statistical Feature Selection. ICAPR 2001: 425-434

Jiri Grim, Josef Kittler, Pavel Pudil, Petr Somol: Information Analysis of Multiple Classifier Fusion. Multiple Classifier Systems 2001: 168-177

Petr Somol, Pavel Pudil: Feature Selection Toolbox as a Multi-Purpose Tool in Pattern Recognition. PRIS 2001: 91-102

Pavel Paclík, Jana Novovicová, Pavel Pudil, Petr Somol: Road sign classification using Laplace kernel classifier. Pattern Recognition Letters 21(13-14): 1165-1173 (2000)

Petr Somol, Pavel Pudil: Oscillating Search Algorithms for Feature Selection. ICPR 2000: 2406-2409

Jiri Grim, Pavel Pudil, Petr Somol: Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals. ICPR 2000: 2585-2589

Jiri Grim, Josef Kittler, Pavel Pudil, Petr Somol: Combining Multiple Classifiers in Probabilistic Neural Networks. Multiple Classifier Systems 2000: 157-166

Helmut A. Mayer, Petr Somol, Reinhold Huber, Pavel Pudil: Improving Statistical Measures of Feature Subsets by Conventional and Evolutionary Approaches. SSPR/SPR 2000: 77-86

Mineichi Kudo, Petr Somol, Pavel Pudil, Masaru Shimbo, Jack Sklansky: Comparison of Classifier-Specific Feature Selection Algorithms. SSPR/SPR 2000: 677-686

Francesc J. Ferri, José Manuel Iñesta Quereda, Adnan Amin, Pavel Pudil (Eds.): Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30 - September 1, 2000, Proceedings. Lecture Notes in Computer Science 1876, Springer 2000, isbn 3-540-67946-4

Petr Somol, Pavel Pudil, Jana Novovicová, Pavel Paclík: Adaptive floating search methods in feature selection. Pattern Recognition Letters 20(11-13): 1157-1163 (1999)

Pavel Pudil, Jana Novovicová: Novel Methods for Subset Selection with Respect to Problem Knowledge. IEEE Intelligent Systems 13(2): 66-74 (1998)

Pavel Pudil, Jana Novovicová, Petr Somol, R. Vrnata: Feature Selection Expert - User Oriented Approach: Methodology and Concept of the System. SSPR/SPR 1998: 573-582

Jiri Grim, Pavel Pudil: On Virtually Binary Nature of Probabilistic Neural Networks. SSPR/SPR 1998: 765-774

Adnan Amin, Dov Dori, Pavel Pudil, Herbert Freeman (Eds.): Advances in Pattern Recognition, Joint IAPR International Workshops SSPR '98 and SPR '98, Sydney, NSW, Australia, August 11-13, 1998, Proceedings. Lecture Notes in Computer Science 1451, Springer 1998, isbn 3-540-64858-5

Jana Novovicová, Pavel Pudil, Josef Kittler: Divergence Based Feature Selection for Multimodal Class Densities. IEEE Trans. Pattern Anal. Mach. Intell. 18(2): 218-223 (1996)

Pavel Pudil, Jana Novovicová, N. Choakjarernwanit, Josef Kittler: Feature selection based on the approximation of class densities by finite mixtures of special type. Pattern Recognition 28(9): 1389-1398 (1995)

Pavel Pudil, Jana Novovicová, Francesc J. Ferri, Josef Kittler: Advances in the Statistical Methodology for the Selection of Image Descriptors for Visual Pattern Representation and Classification. CAIP 1995: 832-837

Pavel Pudil, Jana Novovicová, Josef Kittler: Simultaneous learning of decision rules and important attributes for classification problems in image analysis. Image Vision Comput. 12(3): 193-198 (1994)

Pavel Pudil, Jana Novovicová, Josef Kittler: Floating search methods in feature selection. Pattern Recognition Letters 15(10): 1119-1125 (1994)

Pavel Pudil, Jana Novovicová, N. Choakjarernwanit, Josef Kittler: An analysis of the Max-Min approach to feature selection and ordering. Pattern Recognition Letters 14(11): 841-847 (1993)

Pavel Pudil, Jana Novovicová, Josef Kittler: Automatic Machine Learning of Decision Rules for Classification Problems in Image Analysis. BMVC 1993: 1-10

Pavel Pudil, Svatopluk Bláha, Jana Novovicová: PREDITAS - Software Package for Solving Pattern Recognition and Diagnostic Problems. Pattern Recognition 1988: 144-152

Pavel Pudil, Svatopluk Bláha: Evaluation of the effectiveness of features selected by discriminant analysis methods. Pattern Recognition 14(1-6): 81-85 (1981)