2008 |
24 | | Petr Somol,
Jana Novovicová,
Pavel Pudil:
Are Better Feature Selection Methods Actually Better? - Discussion, Reasoning and Examples.
HEALTHINF (1) 2008: 246-253 |
23 | EE | Petr Somol,
Jana Novovicová,
Jiri Grim,
Pavel Pudil:
Dynamic Oscillating Search algorithm for feature selection.
ICPR 2008: 1-4 |
22 | EE | Jiri Grim,
Jana Novovicová,
Petr Somol:
Structural poisson mixtures for classification of documents.
ICPR 2008: 1-4 |
21 | EE | Pavel Paclík,
Carmen Lai,
Jana Novovicová,
Robert P. W. Duin:
Variance estimation for two-class and multi-class ROC analysis using operating point averaging.
ICPR 2008: 1-4 |
20 | EE | Petr Somol,
Jana Novovicová:
Evaluating the Stability of Feature Selectors That Optimize Feature Subset Cardinality.
SSPR/SPR 2008: 956-966 |
2007 |
19 | EE | Jana Novovicová,
Petr Somol,
Michal Haindl,
Pavel Pudil:
Conditional Mutual Information Based Feature Selection for Classification Task.
CIARP 2007: 417-426 |
2006 |
18 | EE | Jana Novovicová,
Petr Somol,
Pavel Pudil:
Oscillating Feature Subset Search Algorithm for Text Categorization.
CIARP 2006: 578-587 |
17 | EE | Pavel Paclík,
Jana Novovicová,
Robert P. W. Duin:
A Trainable Similarity Measure for Image Classification.
ICPR (3) 2006: 391-394 |
16 | EE | Petr Somol,
Jana Novovicová,
Pavel Pudil:
Flexible-Hybrid Sequential Floating Search in Statistical Feature Selection.
SSPR/SPR 2006: 632-639 |
15 | EE | Pavel Paclík,
Jana Novovicová,
Robert P. W. Duin:
Building Road-Sign Classifiers Using a Trainable Similarity Measure.
IEEE Transactions on Intelligent Transportation Systems 7(3): 309-321 (2006) |
2004 |
14 | EE | Jana Novovicová,
Antonín Malík,
Pavel Pudil:
Feature Selection Using Improved Mutual Information for Text Classification.
SSPR/SPR 2004: 1010-1017 |
2003 |
13 | EE | Jana Novovicová,
Antonín Malík:
Application of Multinomial Mixture Model to Text Classification.
IbPRIA 2003: 646-653 |
2002 |
12 | EE | Pavel Pudil,
Jana Novovicová,
Petr Somol:
Feature selection toolbox software package.
Pattern Recognition Letters 23(4): 487-492 (2002) |
2000 |
11 | 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 |
10 | 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 |
9 | | 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 |
8 | | Pavel Pudil,
Jana Novovicová:
Novel Methods for Subset Selection with Respect to Problem Knowledge.
IEEE Intelligent Systems 13(2): 66-74 (1998) |
1996 |
7 | EE | 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 |
6 | | 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 |
5 | EE | Pavel 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 |
4 | EE | Pavel 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) |
3 | EE | Pavel Pudil,
Jana Novovicová,
Josef Kittler:
Floating search methods in feature selection.
Pattern Recognition Letters 15(10): 1119-1125 (1994) |
1993 |
2 | EE | Pavel 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 |
1 | | Pavel Pudil,
Svatopluk Bláha,
Jana Novovicová:
PREDITAS - Software Package for Solving Pattern Recognition and Diagnostic Problems.
Pattern Recognition 1988: 144-152 |