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2010 – 2019
- 2014
[c39]Jirí Grim, Pavel Pudil:
Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees. IJCCI (NCTA) 2014: 65-75- [c38]Jirí Grim, Pavel Pudil
:
Mixtures of Product Components Versus Mixtures of Dependence Trees. IJCCI (Selected Papers) 2014: 365-382 - 2013
- [c37]Petr Somol, Jirí Grim, Jirí Filip, Pavel Pudil:
On Stopping Rules in Dependency-Aware Feature Ranking. CIARP (1) 2013: 286-293 - 2011
- [j20]Petr Somol, Jirí Grim, Jana Novovicová, Pavel Pudil:
Improving feature selection process resistance to failures caused by curse-of-dimensionality effects. Kybernetika 47(3): 401-425 (2011) - [c36]Petr Somol, Jirí Grim, Pavel Pudil:
Fast dependency-aware feature selection in very-high-dimensional pattern recognition. SMC 2011: 502-509 - 2010
- [c35]Petr Somol, Jirí Grim, Pavel Pudil:
The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround. ICPR 2010: 4396-4399 - [c34]Jirí Grim, Petr Somol, Pavel Pudil:
Digital Image Forgery Detection by Local Statistical Models. IIH-MSP 2010: 579-582
2000 – 2009
- 2009
- [c33]Jana Novovicová, Petr Somol, Pavel Pudil:
A New Measure of Feature Selection Algorithms' Stability. ICDM Workshops 2009: 382-387 - [c32]Michal Haindl, Stanislav Mikes, Pavel Pudil:
Unsupervised Hierarchical Weighted Multi-segmenter. MCS 2009: 272-282 - [c31]Petr Somol, Jirí Grim, Pavel Pudil:
Criteria Ensembles in Feature Selection. MCS 2009: 304-313 - 2008
- [c30]Petr Somol, Jana Novovicová, Pavel Pudil:
Are Better Feature Selection Methods Actually Better? - Discussion, Reasoning and Examples. HEALTHINF (1) 2008: 246-253 - [c29]Petr Somol, Jana Novovicová, Jirí Grim, Pavel Pudil:
Dynamic Oscillating Search algorithm for feature selection. ICPR 2008: 1-4 - 2007
- [j19]Petr Somol, Jana Novovicová, Pavel Pudil:
Notes on the evolution of feature selection methodology. Kybernetika 43(5): 713-730 (2007) - [c28]Jana Novovicová, Petr Somol, Michal Haindl, Pavel Pudil:
Conditional Mutual Information Based Feature Selection for Classification Task. CIARP 2007: 417-426 - 2006
- [c27]Jirí Grim, Petr Somol, Michal Haindl, Pavel Pudil:
Color Texture Segmentation by Decomposition of Gaussian Mixture Model. CIARP 2006: 287-296 - [c26]Jana Novovicová, Petr Somol, Pavel Pudil:
Oscillating Feature Subset Search Algorithm for Text Categorization. CIARP 2006: 578-587 - [c25]Jirí Grim, Michal Haindl, Petr Somol, Pavel Pudil:
A Subspace Approach to Texture Modelling by Using Gaussian Mixtures. ICPR (2) 2006: 235-238 - [c24]Petr Somol, Pavel Pudil:
Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms. ICPR (2) 2006: 736-739 - [c23]Petr Somol, Jana Novovicová, Pavel Pudil:
Flexible-Hybrid Sequential Floating Search in Statistical Feature Selection. SSPR/SPR 2006: 632-639 - 2005
- [j18]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) - [j17]Jirí Grim, Petr Somol, Pavel Pudil:
Probabilistic neural network playing and learning Tic-Tac-Toe. Pattern Recognit. Lett. 26(12): 1866-1873 (2005) - [c22]Pavel Pudil, Petr Somol:
Current Feature Selection Techniques in Statistical Pattern Recognition. CORES 2005: 53-68 - 2004
- [j16]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) - [c21]Michal Haindl, Jirí Grim, Petr Somol, Pavel Pudil, Mineichi Kudo:
A Gaussian Mixture-Based Colour Texture Model. ICPR (3) 2004: 177-180 - [c20]Petr Somol, Pavel Pudil, Jirí Grim:
On Prediction Mechanisms in Fast Branch & Bound Algorithms. SSPR/SPR 2004: 716-724 - [c19]Jana Novovicová, Antonín Malík, Pavel Pudil:
Feature Selection Using Improved Mutual Information for Text Classification. SSPR/SPR 2004: 1010-1017 - 2002
- [j15]Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol:
Multiple Classifier Fusion in Probabilistic Neural Networks. Pattern Anal. Appl. 5(2): 221-233 (2002) - [j14]Petr Somol, Pavel Pudil:
Feature selection toolbox. Pattern Recognit. 35(12): 2749-2759 (2002) - [j13]Pavel Pudil, Jana Novovicová, Petr Somol:
Feature selection toolbox software package. Pattern Recognit. Lett. 23(4): 487-492 (2002) - [c18]Jirí Grim, Pavel Pudil, Petr Somol:
Boosting in Probabilistic Neural Networks. ICPR (2) 2002: 136-139 - 2001
- [c17]Petr Somol, Pavel Pudil, Jirí Grim:
Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms. ICAPR 2001: 230-239 - [c16]Josef Kittler, Pavel Pudil, Petr Somol:
Advances in Statistical Feature Selection. ICAPR 2001: 425-434 - [c15]Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol:
Information Analysis of Multiple Classifier Fusion. Multiple Classifier Systems 2001: 168-177 - [c14]Petr Somol, Pavel Pudil:
Feature Selection Toolbox as a Multi-Purpose Tool in Pattern Recognition. PRIS 2001: 91-102 - 2000
- [j12]Pavel Paclík, Jana Novovicová, Pavel Pudil, Petr Somol:
Road sign classification using Laplace kernel classifier. Pattern Recognit. Lett. 21(13-14): 1165-1173 (2000) - [c13]Petr Somol, Pavel Pudil:
Oscillating Search Algorithms for Feature Selection. ICPR 2000: 2406-2409 - [c12]Jirí Grim, Pavel Pudil, Petr Somol:
Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals. ICPR 2000: 2585-2589 - [c11]Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol:
Combining Multiple Classifiers in Probabilistic Neural Networks. Multiple Classifier Systems 2000: 157-166 - [c10]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 - [c9]Mineichi Kudo, Petr Somol, Pavel Pudil, Masaru Shimbo, Jack Sklansky:
Comparison of Classifier-Specific Feature Selection Algorithms. SSPR/SPR 2000: 677-686 - [e2]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. Lecture Notes in Computer Science 1876, Springer 2000, ISBN 3-540-67946-4 [contents]
1990 – 1999
- 1999
- [j11]Petr Somol, Pavel Pudil, Jana Novovicová, Pavel Paclík:
Adaptive floating search methods in feature selection. Pattern Recognit. Lett. 20(11-13): 1157-1163 (1999) - 1998
- [j10]Pavel Pudil, Jana Novovicová:
Novel Methods for Subset Selection with Respect to Problem Knowledge. IEEE Intell. Syst. 13(2): 66-74 (1998) - [j9]Pavel Pudil:
Special issue: Statistical techniques in pattern recognition. Kybernetika 34(4): 361 (1998) - [j8]Pavel Pudil, Jana Novovicová, Petr Somol, Radek Vrnata:
Conceptual base of feature selection consulting system. Kybernetika 34(4): 451-460 (1998) - [c8]Jirí Grim, Jana Novovicová, Pavel Pudil, Petr Somol, Francesc J. Ferri:
Initializing normal mixtures of densities. ICPR 1998: 886-890 - [c7]Pavel Pudil, Jana Novovicová, Petr Somol, Radek Vrnata:
Feature Selection Expert - User Oriented Approach: Methodology and Concept of the System. SSPR/SPR 1998: 573-582 - [c6]Jirí Grim, Pavel Pudil:
On Virtually Binary Nature of Probabilistic Neural Networks. SSPR/SPR 1998: 765-774 - [e1]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. Lecture Notes in Computer Science 1451, Springer 1998, ISBN 3-540-64858-5 [contents] - 1996
- [j7]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) - 1995
- [j6]Pavel Pudil, Jana Novovicová, N. Choakjarernwanit, Josef Kittler:
Feature selection based on the approximation of class densities by finite mixtures of special type. Pattern Recognit. 28(9): 1389-1398 (1995) - [c5]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 - 1994
- [j5]Pavel Pudil, Jana Novovicová, Josef Kittler:
Simultaneous learning of decision rules and important attributes for classification problems in image analysis. Image Vis. Comput. 12(3): 193-198 (1994) - [j4]Pavel Pudil, Jana Novovicová, Josef Kittler:
Floating search methods in feature selection. Pattern Recognit. Lett. 15(10): 1119-1125 (1994) - [c4]Pavel Pudil, Francesc J. Ferri, Jana Novovicová, Josef Kittler:
Floating search methods for feature selection with nonmonotonic criterion functions. ICPR (2) 1994: 279-283 - 1993
- [j3]Pavel Pudil, Jana Novovicová, N. Choakjarernwanit, Josef Kittler:
An analysis of the Max-Min approach to feature selection and ordering. Pattern Recognit. Lett. 14(11): 841-847 (1993) - [c3]Pavel Pudil, Jana Novovicová, Josef Kittler:
Automatic Machine Learning of Decision Rules for Classification Problems in Image Analysis. BMVC 1993: 1-10 - 1992
- [c2]Pavel Pudil, Jana Novovicová, Svatopluk Bláha, Josef Kittler:
Multistage pattern recognition with reject option. ICPR (2) 1992: 92-95 - 1991
- [j2]Pavel Pudil, Jana Novovicová, Svatopluk Bláha:
Statistical approach to pattern recognition: Theory and practical solution by means of PREDITAS system. Kybernetika 27(7): 1-76 (1991)
1980 – 1989
- 1988
- [c1]Pavel Pudil, Svatopluk Bláha, Jana Novovicová:
PREDITAS - Software Package for Solving Pattern Recognition and Diagnostic Problems. Pattern Recognition 1988: 144-152 - 1981
- [j1]Pavel Pudil, Svatopluk Bláha:
Evaluation of the effectiveness of features selected by discriminant analysis methods. Pattern Recognit. 14(1-6): 81-85 (1981)
Coauthor Index
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