Pavel Paclík

V. Cuong Dinh, Raimund Leitner, Pavel Paclík, Marco Loog, Robert P. W. Duin: SEDMI: Saliency based edge detection in multispectral images. Image Vision Comput. 29(8): 546-556 (2011)

Thomas Landgrebe, Pavel Paclík: The ROC skeleton for multiclass ROC estimation. Pattern Recognition Letters 31(9): 949-958 (2010)

Pavel Paclík, Carmen Lai, Thomas Landgrebe, Robert P. W. Duin: ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers. ICPR 2010: 2977-2980

Thomas Karavides, K. Y. Esther Leung, Pavel Paclík, Emile A. Hendriks, Johan G. Bosch: Database guided detection of anatomical landmark points in 3D images of the heart. ISBI 2010: 1089-1092

V. Cuong Dinh, Raimund Leitner, Pavel Paclík, Robert P. W. Duin: A Clustering Based Method for Edge Detection in Hyperspectral Images. SCIA 2009: 580-587

Feifei Huo, Emile A. Hendriks, Pavel Paclík, Augustinus H. J. Oomes: Markerless human motion capture and pose recognition. WIAMIS 2009: 13-16

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

Fabrice Colas, Pavel Paclík, Joost N. Kok, Pavel Brazdil: Does SVM Really Scale Up to Large Bag of Words Feature Spaces? IDA 2007: 296-307

Pavel Paclík, Raimund Leitner, Robert P. W. Duin: A study on design of object sorting algorithms in the industrial application using hyperspectral imaging. J. Real-Time Image Processing 1(2): 101-108 (2006)

Elzbieta Pekalska, Robert P. W. Duin, Pavel Paclík: Prototype selection for dissimilarity-based classifiers. Pattern Recognition 39(2): 189-208 (2006)

Thomas Landgrebe, David M. J. Tax, Pavel Paclík, Robert P. W. Duin: The interaction between classification and reject performance for distance-based reject-option classifiers. Pattern Recognition Letters 27(8): 908-917 (2006)

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)

Thomas Landgrebe, Pavel Paclík, Robert P. W. Duin: Precision-recall operating characteristic (P-ROC) curves in imprecise environments. ICPR (4) 2006: 123-127

Pavel Paclík, Jana Novovicová, Robert P. W. Duin: A Trainable Similarity Measure for Image Classification. ICPR (3) 2006: 391-394

Marina Skurichina, Serguei Verzakov, Pavel Paclík, Robert P. W. Duin: Effectiveness of Spectral Band Selection/Extraction Techniques for Spectral Data. SSPR/SPR 2006: 541-550

Serguei Verzakov, Pavel Paclík, Robert P. W. Duin: Edge Detection in Hyperspectral Imaging: Multivariate Statistical Approaches. SSPR/SPR 2006: 551-559

Pavel Paclík, Thomas Landgrebe, David M. J. Tax, Robert P. W. Duin: On Deriving the Second-Stage Training Set for Trainable Combiners. Multiple Classifier Systems 2005: 136-146

Thomas Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin: Optimising Two-Stage Recognition Systems. Multiple Classifier Systems 2005: 206-215

Pavel Paclík, Serguei Verzakov, Robert P. W. Duin: Improving the Maximum-Likelihood Co-occurrence Classifier: A Study on Classification of Inhomogeneous Rock Images. SCIA 2005: 998-1008

Serguei Verzakov, Pavel Paclík, Robert P. W. Duin: The Tangent Kernel Approach to Illumination-Robust Texture Classification. SCIA 2005: 1009-1016

Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík: A Study On Combining Image Representations For Image Classification And Retrieval. IJPRAI 18(5): 867-890 (2004)

Pavel Paclík, Serguei Verzakov, Robert P. W. Duin: Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data. ICPR (4) 2004: 629-632

Thomas Landgrebe, Pavel Paclík, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin: Cost-Based Classifier Evaluation for Imbalanced Problems. SSPR/SPR 2004: 762-770

Serguei Verzakov, Pavel Paclík, Robert P. W. Duin: Feature Shaving for Spectroscopic Data. SSPR/SPR 2004: 1026-1033

Marina Skurichina, Pavel Paclík, Robert P. W. Duin, Diana de Veld, Henricus J. C. M. Sterenborg, Max J. H. Witje, Jan L. N. Roodenburg: Selection/Extraction of Spectral Regions for Autofluorescence Spectra Measured in the Oral Cavity. SSPR/SPR 2004: 1096-1104

Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus: Segmentation of multi-spectral images using the combined classifier approach. Image Vision Comput. 21(6): 473-482 (2003)

Pavel Paclík, Robert P. W. Duin: Dissimilarity-based classification of spectra: computational issues. Real-Time Imaging 9(4): 237-244 (2003)

Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus: Supervised Segmentation of Textures in Backscatter Images. ICPR (2) 2002: 490-493

Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík: On Combining One-Class Classifiers for Image Database Retrieval. Multiple Classifier Systems 2002: 212-221

Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus: On Feature Selection with Measurement Cost and Grouped Features. SSPR/SPR 2002: 461-469

Elzbieta Pekalska, Pavel Paclík, Robert P. W. Duin: A Generalized Kernel Approach to Dissimilarity-based Classification. Journal of Machine Learning Research 2: 175-211 (2001)

Pavel Paclík, Jana Novovicová, Pavel Pudil, Petr Somol: Road sign classification using Laplace kernel classifier. Pattern Recognition Letters 21(13-14): 1165-1173 (2000)

Petr Somol, Pavel Pudil, Jana Novovicová, Pavel Paclík: Adaptive floating search methods in feature selection. Pattern Recognition Letters 20(11-13): 1157-1163 (1999)