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

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

A Generalized Kernel Approach to Dissimilarity-based Classification. - Elzbieta Pekalska; Pavel Paclík; Robert P. W. Duin (J. Mach. Learn. Res., 2001)

Supervised Segmentation of Textures in Backscatter Images. - Pavel Paclík; Robert P. W. Duin; Geert M. P. van Kempen; Reinhard Kohlus (ICPR (2), 2002)

On Combining One-Class Classifiers for Image Database Retrieval. - Carmen Lai; David M. J. Tax; Robert P. W. Duin; Elzbieta Pekalska; Pavel Paclík (Multiple Classifier Systems, 2002)

On Feature Selection with Measurement Cost and Grouped Features. - Pavel Paclík; Robert P. W. Duin; Geert M. P. van Kempen; Reinhard Kohlus (SSPR/SPR, 2002)

Segmentation of multi-spectral images using the combined classifier approach. - Pavel Paclík; Robert P. W. Duin; Geert M. P. van Kempen; Reinhard Kohlus (Image Vis. Comput., 2003)

Dissimilarity-based classification of spectra: computational issues. - Pavel Paclík; Robert P. W. Duin (Real Time Imaging, 2003)

Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data. - Pavel Paclík; Serguei Verzakov; Robert P. W. Duin (ICPR (4), 2004)

Cost-Based Classifier Evaluation for Imbalanced Problems. - Thomas C. W. Landgrebe; Pavel Paclík; David M. J. Tax; Serguei Verzakov; Robert P. W. Duin (SSPR/SPR, 2004)

Selection/Extraction of Spectral Regions for Autofluorescence Spectra Measured in the Oral Cavity. - Marina Skurichina; Pavel Paclík; Robert P. W. Duin; Diana de Veld; Henricus J. C. M. Sterenborg; Max J. H. Witje; Jan L. N. Roodenburg (SSPR/SPR, 2004)

Feature Shaving for Spectroscopic Data. - Serguei Verzakov; Pavel Paclík; Robert P. W. Duin (SSPR/SPR, 2004)

A Study On Combining Image Representations For Image Classification And Retrieval. - Carmen Lai; David M. J. Tax; Robert P. W. Duin; Elzbieta Pekalska; Pavel Paclík (Int. J. Pattern Recognit. Artif. Intell., 2004)

Optimising Two-Stage Recognition Systems. - Thomas C. W. Landgrebe; Pavel Paclík; David M. J. Tax; Robert P. W. Duin (Multiple Classifier Systems, 2005)

On Deriving the Second-Stage Training Set for Trainable Combiners. - Pavel Paclík; Thomas C. W. Landgrebe; David M. J. Tax; Robert P. W. Duin (Multiple Classifier Systems, 2005)

Improving the Maximum-Likelihood Co-occurrence Classifier: A Study on Classification of Inhomogeneous Rock Images. - Pavel Paclík; Serguei Verzakov; Robert P. W. Duin (SCIA, 2005)

The Tangent Kernel Approach to Illumination-Robust Texture Classification. - Serguei Verzakov; Pavel Paclík; Robert P. W. Duin (SCIA, 2005)

Precision-recall operating characteristic (P-ROC) curves in imprecise environments. - Thomas C. W. Landgrebe; Pavel Paclík; Robert P. W. Duin (ICPR (4), 2006)

A Trainable Similarity Measure for Image Classification. - Pavel Paclík; Jana Novovicová; Robert P. W. Duin (ICPR (3), 2006)

Paper Retrieval Based on Specific Paper Features: Chain and Laid Lines. - M. van Staalduinen; Jan C. A. van der Lubbe; Eric Backer; Pavel Paclík (MRCS, 2006)

Effectiveness of Spectral Band Selection/Extraction Techniques for Spectral Data. - Marina Skurichina; Serguei Verzakov; Pavel Paclík; Robert P. W. Duin (SSPR/SPR, 2006)

Edge Detection in Hyperspectral Imaging: Multivariate Statistical Approaches. - Serguei Verzakov; Pavel Paclík; Robert P. W. Duin (SSPR/SPR, 2006)

A study on design of object sorting algorithms in the industrial application using hyperspectral imaging. - Pavel Paclík; Raimund Leitner; Robert P. W. Duin (J. Real Time Image Process., 2006)

Prototype selection for dissimilarity-based classifiers. - Elzbieta Pekalska; Robert P. W. Duin; Pavel Paclík (Pattern Recognit., 2006)

The interaction between classification and reject performance for distance-based reject-option classifiers. - Thomas C. W. Landgrebe; David M. J. Tax; Pavel Paclík; Robert P. W. Duin (Pattern Recognit. Lett., 2006)

Building Road-Sign Classifiers Using a Trainable Similarity Measure. - Pavel Paclík; Jana Novovicová; Robert P. W. Duin (IEEE Trans. Intell. Transp. Syst., 2006)

Does SVM Really Scale Up to Large Bag of Words Feature Spaces? - Fabrice Colas; Pavel Paclík; Joost N. Kok; Pavel Brazdil (IDA, 2007)

Variance estimation for two-class and multi-class ROC analysis using operating point averaging. - Pavel Paclík; Carmen Lai; Jana Novovicová; Robert P. W. Duin (ICPR, 2008)

A Clustering Based Method for Edge Detection in Hyperspectral Images. - Viet Cuong Dinh; Raimund Leitner; Pavel Paclík; Robert P. W. Duin (SCIA, 2009)

Markerless human motion capture and pose recognition. - Feifei Huo; Emile A. Hendriks; Pavel Paclík; Augustinus H. J. Oomes (WIAMIS, 2009)

ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers. - Pavel Paclík; Carmen Lai; Thomas C. W. Landgrebe; Robert P. W. Duin (ICPR, 2010)

Database guided detection of anatomical landmark points in 3D images of the heart. - Thomas Karavides; K. Y. Esther Leung; Pavel Paclík; Emile A. Hendriks; Johan G. Bosch (ISBI, 2010)

The ROC skeleton for multiclass ROC estimation. - Thomas C. W. Landgrebe; Pavel Paclík (Pattern Recognit. Lett., 2010)

SEDMI: Saliency based edge detection in multispectral images. - Viet Cuong Dinh; Raimund Leitner; Pavel Paclík; Marco Loog; Robert P. W. Duin (Image Vis. Comput., 2011)