Pavel Pudil

According to our database1, Pavel Pudil authored at least 58 papers between 1981 and 2014.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2014
Mixtures of Product Components Versus Mixtures of Dependence Trees.
Proceedings of the Computational Intelligence - International Joint Conference, 2014

Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

2013
On Stopping Rules in Dependency-Aware Feature Ranking.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2011
Improving feature selection process resistance to failures caused by curse-of-dimensionality effects.
Kybernetika, 2011

Fast dependency-aware feature selection in very-high-dimensional pattern recognition.
Proceedings of the IEEE International Conference on Systems, 2011

2010
Digital Image Forgery Detection by Local Statistical Models.
Proceedings of the Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010), 2010

The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Criteria Ensembles in Feature Selection.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Unsupervised Hierarchical Weighted Multi-segmenter.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

A New Measure of Feature Selection Algorithms' Stability.
Proceedings of the ICDM Workshops 2009, 2009

2008
Dynamic Oscillating Search algorithm for feature selection.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Are Better Feature Selection Methods Actually Better? - Discussion, Reasoning and Examples.
Proceedings of the First International Conference on Health Informatics, 2008

2007
Notes on the evolution of feature selection methodology.
Kybernetika, 2007

Conditional Mutual Information Based Feature Selection for Classification Task.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Flexible-Hybrid Sequential Floating Search in Statistical Feature Selection.
Proceedings of the Structural, 2006

Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Subspace Approach to Texture Modelling by Using Gaussian Mixtures.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Oscillating Feature Subset Search Algorithm for Text Categorization.
Proceedings of the Progress in Pattern Recognition, 2006

Color Texture Segmentation by Decomposition of Gaussian Mixture Model.
Proceedings of the Progress in Pattern Recognition, 2006

2005
Probabilistic neural network playing and learning Tic-Tac-Toe.
Pattern Recognition Letters, 2005

Filter- versus wrapper-based feature selection for credit scoring.
Int. J. Intell. Syst., 2005

Current Feature Selection Techniques in Statistical Pattern Recognition.
Proceedings of the Computer Recognition Systems, 2005

2004
Fast Branch & Bound Algorithms for Optimal Feature Selection.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

On Prediction Mechanisms in Fast Branch & Bound Algorithms.
Proceedings of the Structural, 2004

Feature Selection Using Improved Mutual Information for Text Classification.
Proceedings of the Structural, 2004

A Gaussian Mixture-Based Colour Texture Model.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2002
Feature selection toolbox software package.
Pattern Recognition Letters, 2002

Feature selection toolbox.
Pattern Recognition, 2002

Multiple Classifier Fusion in Probabilistic Neural Networks.
Pattern Anal. Appl., 2002

Boosting in Probabilistic Neural Networks.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Feature Selection Toolbox as a Multi-Purpose Tool in Pattern Recognition.
Proceedings of the Pattern Recognition in Information Systems, 2001

Information Analysis of Multiple Classifier Fusion.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms.
Proceedings of the Advances in Pattern Recognition, 2001

Advances in Statistical Feature Selection.
Proceedings of the Advances in Pattern Recognition, 2001

2000
Road sign classification using Laplace kernel classifier.
Pattern Recognition Letters, 2000

Improving Statistical Measures of Feature Subsets by Conventional and Evolutionary Approaches.
Proceedings of the 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, 2000

Comparison of Classifier-Specific Feature Selection Algorithms.
Proceedings of the 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, 2000

Combining Multiple Classifiers in Probabilistic Neural Networks.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

Oscillating Search Algorithms for Feature Selection.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Adaptive floating search methods in feature selection.
Pattern Recognition Letters, 1999

1998
Conceptual base of feature selection consulting system.
Kybernetika, 1998

Special issue: Statistical techniques in pattern recognition.
Kybernetika, 1998

Novel Methods for Subset Selection with Respect to Problem Knowledge.
IEEE Intelligent Systems, 1998

Feature Selection Expert - User Oriented Approach: Methodology and Concept of the System.
Proceedings of the Advances in Pattern Recognition, 1998

On Virtually Binary Nature of Probabilistic Neural Networks.
Proceedings of the Advances in Pattern Recognition, 1998

Initializing normal mixtures of densities.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1996
Divergence Based Feature Selection for Multimodal Class Densities.
IEEE Trans. Pattern Anal. Mach. Intell., 1996

1995
Feature selection based on the approximation of class densities by finite mixtures of special type.
Pattern Recognition, 1995

Advances in the Statistical Methodology for the Selection of Image Descriptors for Visual Pattern Representation and Classification.
Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

1994
Floating search methods in feature selection.
Pattern Recognition Letters, 1994

Simultaneous learning of decision rules and important attributes for classification problems in image analysis.
Image Vision Comput., 1994

Floating search methods for feature selection with nonmonotonic criterion functions.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
An analysis of the Max-Min approach to feature selection and ordering.
Pattern Recognition Letters, 1993

Automatic Machine Learning of Decision Rules for Classification Problems in Image Analysis.
Proceedings of the British Machine Vision Conference, 1993

1991
Statistical approach to pattern recognition: Theory and practical solution by means of PREDITAS system.
Kybernetika, 1991

1988
PREDITAS - Software Package for Solving Pattern Recognition and Diagnostic Problems.
Proceedings of the Pattern Recognition, 1988

1981
Evaluation of the effectiveness of features selected by discriminant analysis methods.
Pattern Recognition, 1981


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