2009 |
35 | EE | Jiri Grim,
Petr Somol,
Michal Haindl,
J. Danes:
Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models.
IEEE Transactions on Image Processing 18(4): 765-773 (2009) |
2008 |
34 | | Petr Somol,
Jana Novovicová,
Pavel Pudil:
Are Better Feature Selection Methods Actually Better? - Discussion, Reasoning and Examples.
HEALTHINF (1) 2008: 246-253 |
33 | EE | Petr Somol,
Jana Novovicová,
Jiri Grim,
Pavel Pudil:
Dynamic Oscillating Search algorithm for feature selection.
ICPR 2008: 1-4 |
32 | EE | Jiri Grim,
Jana Novovicová,
Petr Somol:
Structural poisson mixtures for classification of documents.
ICPR 2008: 1-4 |
31 | EE | Petr Somol,
Jana Novovicová:
Evaluating the Stability of Feature Selectors That Optimize Feature Subset Cardinality.
SSPR/SPR 2008: 956-966 |
2007 |
30 | EE | Jana Novovicová,
Petr Somol,
Michal Haindl,
Pavel Pudil:
Conditional Mutual Information Based Feature Selection for Classification Task.
CIARP 2007: 417-426 |
2006 |
29 | EE | Jiri Grim,
Petr Somol,
Michal Haindl,
Pavel Pudil:
Color Texture Segmentation by Decomposition of Gaussian Mixture Model.
CIARP 2006: 287-296 |
28 | EE | Michal Haindl,
Petr Somol,
Dimitrios Ververidis,
Constantine Kotropoulos:
Feature Selection Based on Mutual Correlation.
CIARP 2006: 569-577 |
27 | EE | Jana Novovicová,
Petr Somol,
Pavel Pudil:
Oscillating Feature Subset Search Algorithm for Text Categorization.
CIARP 2006: 578-587 |
26 | EE | Jiri Grim,
Michal Haindl,
Petr Somol,
Pavel Pudil:
A Subspace Approach to Texture Modelling by Using Gaussian Mixtures.
ICPR (2) 2006: 235-238 |
25 | EE | Petr Somol,
Pavel Pudil:
Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms.
ICPR (2) 2006: 736-739 |
24 | EE | Petr Somol,
Jana Novovicová,
Pavel Pudil:
Flexible-Hybrid Sequential Floating Search in Statistical Feature Selection.
SSPR/SPR 2006: 632-639 |
2005 |
23 | EE | Pavel Pudil,
Petr Somol:
Current Feature Selection Techniques in Statistical Pattern Recognition.
CORES 2005: 53-68 |
22 | | Petr Somol,
Michal Haindl:
Novel Path Search Algorithm for Image Stitching and Advanced Texture Tiling.
WSCG (Full Papers) 2005: 155-162 |
21 | EE | 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) |
20 | EE | Jiri Grim,
Petr Somol,
Pavel Pudil:
Probabilistic neural network playing and learning Tic-Tac-Toe.
Pattern Recognition Letters 26(12): 1866-1873 (2005) |
2004 |
19 | EE | Michal Haindl,
Jiri Grim,
Petr Somol,
Pavel Pudil,
Mineichi Kudo:
A Gaussian Mixture-Based Colour Texture Model.
ICPR (3) 2004: 177-180 |
18 | EE | Petr Somol,
Pavel Pudil,
Jiri Grim:
On Prediction Mechanisms in Fast Branch & Bound Algorithms.
SSPR/SPR 2004: 716-724 |
17 | EE | 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) |
2002 |
16 | EE | Jiri Grim,
Pavel Pudil,
Petr Somol:
Boosting in Probabilistic Neural Networks.
ICPR (2) 2002: 136-139 |
15 | EE | Jiri Grim,
Josef Kittler,
Pavel Pudil,
Petr Somol:
Multiple Classifier Fusion in Probabilistic Neural Networks.
Pattern Anal. Appl. 5(2): 221-233 (2002) |
14 | EE | Petr Somol,
Pavel Pudil:
Feature selection toolbox.
Pattern Recognition 35(12): 2749-2759 (2002) |
13 | EE | Pavel Pudil,
Jana Novovicová,
Petr Somol:
Feature selection toolbox software package.
Pattern Recognition Letters 23(4): 487-492 (2002) |
2001 |
12 | EE | 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 |
11 | EE | Josef Kittler,
Pavel Pudil,
Petr Somol:
Advances in Statistical Feature Selection.
ICAPR 2001: 425-434 |
10 | EE | Jiri Grim,
Josef Kittler,
Pavel Pudil,
Petr Somol:
Information Analysis of Multiple Classifier Fusion.
Multiple Classifier Systems 2001: 168-177 |
9 | | Petr Somol,
Pavel Pudil:
Feature Selection Toolbox as a Multi-Purpose Tool in Pattern Recognition.
PRIS 2001: 91-102 |
2000 |
8 | EE | Petr Somol,
Pavel Pudil:
Oscillating Search Algorithms for Feature Selection.
ICPR 2000: 2406-2409 |
7 | EE | Jiri Grim,
Pavel Pudil,
Petr Somol:
Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals.
ICPR 2000: 2585-2589 |
6 | EE | Jiri Grim,
Josef Kittler,
Pavel Pudil,
Petr Somol:
Combining Multiple Classifiers in Probabilistic Neural Networks.
Multiple Classifier Systems 2000: 157-166 |
5 | EE | Mineichi Kudo,
Petr Somol,
Pavel Pudil,
Masaru Shimbo,
Jack Sklansky:
Comparison of Classifier-Specific Feature Selection Algorithms.
SSPR/SPR 2000: 677-686 |
4 | EE | 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 |
3 | EE | Pavel Paclík,
Jana Novovicová,
Pavel Pudil,
Petr Somol:
Road sign classification using Laplace kernel classifier.
Pattern Recognition Letters 21(13-14): 1165-1173 (2000) |
1999 |
2 | EE | Petr Somol,
Pavel Pudil,
Jana Novovicová,
Pavel Paclík:
Adaptive floating search methods in feature selection.
Pattern Recognition Letters 20(11-13): 1157-1163 (1999) |
1998 |
1 | | 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 |