Pavel Paclík

2008
26	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
2007
25	EE	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
2006
24	EE	Pavel Paclík, Jana Novovicová, Robert P. W. Duin: A Trainable Similarity Measure for Image Classification. ICPR (3) 2006: 391-394
23	EE	Thomas Landgrebe, Pavel Paclík, Robert P. W. Duin: Precision-recall operating characteristic (P-ROC) curves in imprecise environments. ICPR (4) 2006: 123-127
22	EE	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
21	EE	Serguei Verzakov, Pavel Paclík, Robert P. W. Duin: Edge Detection in Hyperspectral Imaging: Multivariate Statistical Approaches. SSPR/SPR 2006: 551-559
20	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)
19	EE	Elzbieta Pekalska, Robert P. W. Duin, Pavel Paclík: Prototype selection for dissimilarity-based classifiers. Pattern Recognition 39(2): 189-208 (2006)
18	EE	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)
2005
17	EE	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
16	EE	Thomas Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin: Optimising Two-Stage Recognition Systems. Multiple Classifier Systems 2005: 206-215
15	EE	Serguei Verzakov, Pavel Paclík, Robert P. W. Duin: The Tangent Kernel Approach to Illumination-Robust Texture Classification. SCIA 2005: 1009-1016
14	EE	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
2004
13	EE	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
12	EE	Serguei Verzakov, Pavel Paclík, Robert P. W. Duin: Feature Shaving for Spectroscopic Data. SSPR/SPR 2004: 1026-1033
11	EE	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
10	EE	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
9	EE	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)
2003
8	EE	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)
7	EE	Pavel Paclík, Robert P. W. Duin: Dissimilarity-based classification of spectra: computational issues. Real-Time Imaging 9(4): 237-244 (2003)
2002
6	EE	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
5	EE	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
4	EE	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
2001
3	EE	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)
2000
2	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
1	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)

Coauthor Index

1	Pavel Brazdil	[25]
2	Fabrice Colas	[25]
3	Robert P. W. Duin	[3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [26]
4	Geert M. P. van Kempen	[4] [6] [8]
5	Reinhard Kohlus	[4] [6] [8]
6	Joost N. Kok	[25]
7	Carmen Lai	[5] [9] [26]
8	Thomas Landgrebe	[10] [16] [17] [18] [23]
9	Jana Novovicová	[1] [2] [20] [24] [26]
10	Elzbieta Pekalska	[3] [5] [9] [19]
11	Pavel Pudil	[1] [2]
12	Jan L. N. Roodenburg	[11]
13	Marina Skurichina	[11] [22]
14	Petr Somol	[1] [2]
15	Henricus J. C. M. Sterenborg	[11]
16	David M. J. Tax	[5] [9] [10] [16] [17] [18]
17	Diana de Veld	[11]
18	Serguei Verzakov	[10] [12] [13] [14] [15] [21] [22]
19	Max J. H. Witje	[11]

Colors in the list of coauthors