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Pavel Pudil

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2008
43 Petr Somol, Jana Novovicová, Pavel Pudil: Are Better Feature Selection Methods Actually Better? - Discussion, Reasoning and Examples. HEALTHINF (1) 2008: 246-253
42EEPetr Somol, Jana Novovicová, Jiri Grim, Pavel Pudil: Dynamic Oscillating Search algorithm for feature selection. ICPR 2008: 1-4
2007
41EEJana Novovicová, Petr Somol, Michal Haindl, Pavel Pudil: Conditional Mutual Information Based Feature Selection for Classification Task. CIARP 2007: 417-426
2006
40EEJiri Grim, Petr Somol, Michal Haindl, Pavel Pudil: Color Texture Segmentation by Decomposition of Gaussian Mixture Model. CIARP 2006: 287-296
39EEJana Novovicová, Petr Somol, Pavel Pudil: Oscillating Feature Subset Search Algorithm for Text Categorization. CIARP 2006: 578-587
38EEJiri Grim, Michal Haindl, Petr Somol, Pavel Pudil: A Subspace Approach to Texture Modelling by Using Gaussian Mixtures. ICPR (2) 2006: 235-238
37EEPetr Somol, Pavel Pudil: Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms. ICPR (2) 2006: 736-739
36EEPetr Somol, Jana Novovicová, Pavel Pudil: Flexible-Hybrid Sequential Floating Search in Statistical Feature Selection. SSPR/SPR 2006: 632-639
2005
35EEPavel Pudil, Petr Somol: Current Feature Selection Techniques in Statistical Pattern Recognition. CORES 2005: 53-68
34EEPetr 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)
33EEJiri Grim, Petr Somol, Pavel Pudil: Probabilistic neural network playing and learning Tic-Tac-Toe. Pattern Recognition Letters 26(12): 1866-1873 (2005)
2004
32EEMichal Haindl, Jiri Grim, Petr Somol, Pavel Pudil, Mineichi Kudo: A Gaussian Mixture-Based Colour Texture Model. ICPR (3) 2004: 177-180
31EEJana Novovicová, Antonín Malík, Pavel Pudil: Feature Selection Using Improved Mutual Information for Text Classification. SSPR/SPR 2004: 1010-1017
30EEPetr Somol, Pavel Pudil, Jiri Grim: On Prediction Mechanisms in Fast Branch & Bound Algorithms. SSPR/SPR 2004: 716-724
29EEPetr Somol, Pavel Pudil, Josef Kittler: Fast Branch & Bound Algorithms for Optimal Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 26(7): 900-912 (2004)
2002
28EEJiri Grim, Pavel Pudil, Petr Somol: Boosting in Probabilistic Neural Networks. ICPR (2) 2002: 136-139
27EEJiri Grim, Josef Kittler, Pavel Pudil, Petr Somol: Multiple Classifier Fusion in Probabilistic Neural Networks. Pattern Anal. Appl. 5(2): 221-233 (2002)
26EEPetr Somol, Pavel Pudil: Feature selection toolbox. Pattern Recognition 35(12): 2749-2759 (2002)
25EEPavel Pudil, Jana Novovicová, Petr Somol: Feature selection toolbox software package. Pattern Recognition Letters 23(4): 487-492 (2002)
2001
24EEPetr Somol, Pavel Pudil, Jiri Grim: Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms. ICAPR 2001: 230-239
23EEJosef Kittler, Pavel Pudil, Petr Somol: Advances in Statistical Feature Selection. ICAPR 2001: 425-434
22EEJiri Grim, Josef Kittler, Pavel Pudil, Petr Somol: Information Analysis of Multiple Classifier Fusion. Multiple Classifier Systems 2001: 168-177
21 Petr Somol, Pavel Pudil: Feature Selection Toolbox as a Multi-Purpose Tool in Pattern Recognition. PRIS 2001: 91-102
2000
20 Francesc J. Ferri, José Manuel Iñesta Quereda, Adnan Amin, Pavel Pudil: 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 Springer 2000
19EEPetr Somol, Pavel Pudil: Oscillating Search Algorithms for Feature Selection. ICPR 2000: 2406-2409
18EEJiri Grim, Pavel Pudil, Petr Somol: Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals. ICPR 2000: 2585-2589
17EEJiri Grim, Josef Kittler, Pavel Pudil, Petr Somol: Combining Multiple Classifiers in Probabilistic Neural Networks. Multiple Classifier Systems 2000: 157-166
16EEMineichi Kudo, Petr Somol, Pavel Pudil, Masaru Shimbo, Jack Sklansky: Comparison of Classifier-Specific Feature Selection Algorithms. SSPR/SPR 2000: 677-686
15EEHelmut A. Mayer, Petr Somol, Reinhold Huber, Pavel Pudil: Improving Statistical Measures of Feature Subsets by Conventional and Evolutionary Approaches. SSPR/SPR 2000: 77-86
14EEPavel Paclík, Jana Novovicová, Pavel Pudil, Petr Somol: Road sign classification using Laplace kernel classifier. Pattern Recognition Letters 21(13-14): 1165-1173 (2000)
1999
13EEPetr Somol, Pavel Pudil, Jana Novovicová, Pavel Paclík: Adaptive floating search methods in feature selection. Pattern Recognition Letters 20(11-13): 1157-1163 (1999)
1998
12 Adnan Amin, Dov Dori, Pavel Pudil, Herbert Freeman: Advances in Pattern Recognition, Joint IAPR International Workshops SSPR '98 and SPR '98, Sydney, NSW, Australia, August 11-13, 1998, Proceedings Springer 1998
11 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
10 Jiri Grim, Pavel Pudil: On Virtually Binary Nature of Probabilistic Neural Networks. SSPR/SPR 1998: 765-774
9 Pavel Pudil, Jana Novovicová: Novel Methods for Subset Selection with Respect to Problem Knowledge. IEEE Intelligent Systems 13(2): 66-74 (1998)
1996
8EEJana Novovicová, Pavel Pudil, Josef Kittler: Divergence Based Feature Selection for Multimodal Class Densities. IEEE Trans. Pattern Anal. Mach. Intell. 18(2): 218-223 (1996)
1995
7 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
6EEPavel 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)
1994
5EEPavel 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)
4EEPavel Pudil, Jana Novovicová, Josef Kittler: Floating search methods in feature selection. Pattern Recognition Letters 15(10): 1119-1125 (1994)
1993
3EEPavel 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)
1988
2 Pavel Pudil, Svatopluk Bláha, Jana Novovicová: PREDITAS - Software Package for Solving Pattern Recognition and Diagnostic Problems. Pattern Recognition 1988: 144-152
1981
1EEPavel Pudil, Svatopluk Bláha: Evaluation of the effectiveness of features selected by discriminant analysis methods. Pattern Recognition 14(1-6): 81-85 (1981)

Coauthor Index

1Adnan Amin [12] [20]
2Bart Baesens [34]
3Svatopluk Bláha [1] [2]
4N. Choakjarernwanit [3] [6]
5Dov Dori [12]
6Francesc J. Ferri [7] [20]
7Herbert Freeman [12]
8Jiri Grim [10] [17] [18] [22] [24] [27] [28] [30] [32] [33] [38] [40] [42]
9Michal Haindl [32] [38] [40] [41]
10Reinhold Huber-Mörk (Reinhold Huber) [15]
11Josef Kittler [3] [4] [5] [6] [7] [8] [17] [22] [23] [27] [29]
12Mineichi Kudo [16] [32]
13Antonín Malík [31]
14Helmut A. Mayer [15]
15Jana Novovicová [2] [3] [4] [5] [6] [7] [8] [9] [11] [13] [14] [25] [31] [36] [39] [41] [42] [43]
16Pavel Paclík [13] [14]
17José Manuel Iñesta Quereda [20]
18Masaru Shimbo [16]
19Jack Sklansky [16]
20Petr Somol [11] [13] [14] [15] [16] [17] [18] [19] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] [43]
21Jan Vanthienen [34]
22R. Vrnata [11]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)