Evaluation of the effectiveness of features selected by discriminant analysis methods. - Pavel Pudil; Svatopluk Bláha (Pattern Recognit., 1981)

PREDITAS - Software Package for Solving Pattern Recognition and Diagnostic Problems. - Pavel Pudil; Svatopluk Bláha; Jana Novovicová (Pattern Recognition, 1988)

Statistical approach to pattern recognition: Theory and practical solution by means of PREDITAS system. - Pavel Pudil; Jana Novovicová; Svatopluk Bláha (Kybernetika, 1991)

Multistage pattern recognition with reject option. - Pavel Pudil; Jana Novovicová; Svatopluk Bláha; Josef Kittler (ICPR (2), 1992)

Automatic Machine Learning of Decision Rules for Classification Problems in Image Analysis. - Pavel Pudil; Jana Novovicová; Josef Kittler (BMVC, 1993)

An analysis of the Max-Min approach to feature selection and ordering. - Pavel Pudil; Jana Novovicová; N. Choakjarernwanit; Josef Kittler (Pattern Recognit. Lett., 1993)

Floating search methods for feature selection with nonmonotonic criterion functions. - Pavel Pudil; Francesc J. Ferri; Jana Novovicová; Josef Kittler (ICPR (2), 1994)

Simultaneous learning of decision rules and important attributes for classification problems in image analysis. - Pavel Pudil; Jana Novovicová; Josef Kittler (Image Vis. Comput., 1994)

Floating search methods in feature selection. - Pavel Pudil; Jana Novovicová; Josef Kittler (Pattern Recognit. Lett., 1994)

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

Feature selection based on the approximation of class densities by finite mixtures of special type. - Pavel Pudil; Jana Novovicová; N. Choakjarernwanit; Josef Kittler (Pattern Recognit., 1995)

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

Initializing normal mixtures of densities. - Jirí Grim; Jana Novovicová; Pavel Pudil; Petr Somol; Francesc J. Ferri (ICPR, 1998)

On Virtually Binary Nature of Probabilistic Neural Networks. - Jirí Grim; Pavel Pudil (SSPR/SPR, 1998)

Feature Selection Expert - User Oriented Approach: Methodology and Concept of the System. - Pavel Pudil; Jana Novovicová; Petr Somol; Radek Vrnata (SSPR/SPR, 1998)

Novel Methods for Subset Selection with Respect to Problem Knowledge. - Pavel Pudil; Jana Novovicová (IEEE Intell. Syst., 1998)

Special issue: Statistical techniques in pattern recognition. - Pavel Pudil (Kybernetika, 1998)

Conceptual base of feature selection consulting system. - Pavel Pudil; Jana Novovicová; Petr Somol; Radek Vrnata (Kybernetika, 1998)

Adaptive floating search methods in feature selection. - Petr Somol; Pavel Pudil; Jana Novovicová; Pavel Paclík (Pattern Recognit. Lett., 1999)

Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals. - Jirí Grim; Pavel Pudil; Petr Somol (ICPR, 2000)

Oscillating Search Algorithms for Feature Selection. - Petr Somol; Pavel Pudil (ICPR, 2000)

Combining Multiple Classifiers in Probabilistic Neural Networks. - Jirí Grim; Josef Kittler; Pavel Pudil; Petr Somol (Multiple Classifier Systems, 2000)

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

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

Road sign classification using Laplace kernel classifier. - Pavel Paclík; Jana Novovicová; Pavel Pudil; Petr Somol (Pattern Recognit. Lett., 2000)

Advances in Statistical Feature Selection. - Josef Kittler; Pavel Pudil; Petr Somol (ICAPR, 2001)

Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms. - Petr Somol; Pavel Pudil; Jirí Grim (ICAPR, 2001)

Information Analysis of Multiple Classifier Fusion. - Jirí Grim; Josef Kittler; Pavel Pudil; Petr Somol (Multiple Classifier Systems, 2001)

Feature Selection Toolbox as a Multi-Purpose Tool in Pattern Recognition. - Petr Somol; Pavel Pudil (PRIS, 2001)

Boosting in Probabilistic Neural Networks. - Jirí Grim; Pavel Pudil; Petr Somol (ICPR (2), 2002)

Multiple Classifier Fusion in Probabilistic Neural Networks. - Jirí Grim; Josef Kittler; Pavel Pudil; Petr Somol (Pattern Anal. Appl., 2002)

Feature selection toolbox. - Petr Somol; Pavel Pudil (Pattern Recognit., 2002)

Feature selection toolbox software package. - Pavel Pudil; Jana Novovicová; Petr Somol (Pattern Recognit. Lett., 2002)

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

Feature Selection Using Improved Mutual Information for Text Classification. - Jana Novovicová; Antonín Malík; Pavel Pudil (SSPR/SPR, 2004)

On Prediction Mechanisms in Fast Branch & Bound Algorithms. - Petr Somol; Pavel Pudil; Jirí Grim (SSPR/SPR, 2004)

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

Current Feature Selection Techniques in Statistical Pattern Recognition. - Pavel Pudil; Petr Somol (CORES, 2005)

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

Probabilistic neural network playing and learning Tic-Tac-Toe. - Jirí Grim; Petr Somol; Pavel Pudil (Pattern Recognit. Lett., 2005)

Color Texture Segmentation by Decomposition of Gaussian Mixture Model. - Jirí Grim; Petr Somol; Michal Haindl; Pavel Pudil (CIARP, 2006)

Oscillating Feature Subset Search Algorithm for Text Categorization. - Jana Novovicová; Petr Somol; Pavel Pudil (CIARP, 2006)

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

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

Flexible-Hybrid Sequential Floating Search in Statistical Feature Selection. - Petr Somol; Jana Novovicová; Pavel Pudil (SSPR/SPR, 2006)

Conditional Mutual Information Based Feature Selection for Classification Task. - Jana Novovicová; Petr Somol; Michal Haindl; Pavel Pudil (CIARP, 2007)

Notes on the evolution of feature selection methodology. - Petr Somol; Jana Novovicová; Pavel Pudil (Kybernetika, 2007)

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

Dynamic Oscillating Search algorithm for feature selection. - Petr Somol; Jana Novovicová; Jirí Grim; Pavel Pudil (ICPR, 2008)

A New Measure of Feature Selection Algorithms' Stability. - Jana Novovicová; Petr Somol; Pavel Pudil (ICDM Workshops, 2009)

Unsupervised Hierarchical Weighted Multi-segmenter. - Michal Haindl; Stanislav Mikes; Pavel Pudil (MCS, 2009)

Criteria Ensembles in Feature Selection. - Petr Somol; Jirí Grim; Pavel Pudil (MCS, 2009)

The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround. - Petr Somol; Jirí Grim; Pavel Pudil (ICPR, 2010)

Digital Image Forgery Detection by Local Statistical Models. - Jirí Grim; Petr Somol; Pavel Pudil (IIH-MSP, 2010)

Fast dependency-aware feature selection in very-high-dimensional pattern recognition. - Petr Somol; Jirí Grim; Pavel Pudil (SMC, 2011)

Improving feature selection process resistance to failures caused by curse-of-dimensionality effects. - Petr Somol; Jirí Grim; Jana Novovicová; Pavel Pudil (Kybernetika, 2011)

On Stopping Rules in Dependency-Aware Feature Ranking. - Petr Somol; Jirí Grim; Jirí Filip; Pavel Pudil (CIARP (1), 2013)

Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees. - Jirí Grim; Pavel Pudil (IJCCI (NCTA), 2014)

Mixtures of Product Components Versus Mixtures of Dependence Trees. - Jirí Grim; Pavel Pudil (IJCCI (Selected Papers), 2014)