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Pavel Paclík: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Thomas Landgrebe, Pavel Paclík, Robert P. W. Duin
    Precision-recall operating characteristic (P-ROC) curves in imprecise environments. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2006, pp:123-127 [Conf]
  2. Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus
    Supervised Segmentation of Textures in Backscatter Images. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2002, pp:490-493 [Conf]
  3. Pavel Paclík, Jana Novovicová, Robert P. W. Duin
    A Trainable Similarity Measure for Image Classification. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:391-394 [Conf]
  4. Pavel Paclík, Serguei Verzakov, Robert P. W. Duin
    Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2004, pp:629-632 [Conf]
  5. Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík
    On Combining One-Class Classifiers for Image Database Retrieval. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:212-221 [Conf]
  6. Thomas Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin
    Optimising Two-Stage Recognition Systems. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:206-215 [Conf]
  7. Pavel Paclík, Thomas Landgrebe, David M. J. Tax, Robert P. W. Duin
    On Deriving the Second-Stage Training Set for Trainable Combiners. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:136-146 [Conf]
  8. Pavel Paclík, Serguei Verzakov, Robert P. W. Duin
    Improving the Maximum-Likelihood Co-occurrence Classifier: A Study on Classification of Inhomogeneous Rock Images. [Citation Graph (0, 0)][DBLP]
    SCIA, 2005, pp:998-1008 [Conf]
  9. Serguei Verzakov, Pavel Paclík, Robert P. W. Duin
    The Tangent Kernel Approach to Illumination-Robust Texture Classification. [Citation Graph (0, 0)][DBLP]
    SCIA, 2005, pp:1009-1016 [Conf]
  10. Thomas Landgrebe, Pavel Paclík, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin
    Cost-Based Classifier Evaluation for Imbalanced Problems. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:762-770 [Conf]
  11. Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus
    On Feature Selection with Measurement Cost and Grouped Features. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:461-469 [Conf]
  12. 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. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:1096-1104 [Conf]
  13. Marina Skurichina, Serguei Verzakov, Pavel Paclík, Robert P. W. Duin
    Effectiveness of Spectral Band Selection/Extraction Techniques for Spectral Data. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:541-550 [Conf]
  14. Serguei Verzakov, Pavel Paclík, Robert P. W. Duin
    Feature Shaving for Spectroscopic Data. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:1026-1033 [Conf]
  15. Serguei Verzakov, Pavel Paclík, Robert P. W. Duin
    Edge Detection in Hyperspectral Imaging: Multivariate Statistical Approaches. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:551-559 [Conf]
  16. 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. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2004, v:18, n:5, pp:867-890 [Journal]
  17. Pavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus
    Segmentation of multi-spectral images using the combined classifier approach. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2003, v:21, n:6, pp:473-482 [Journal]
  18. Elzbieta Pekalska, Pavel Paclík, Robert P. W. Duin
    A Generalized Kernel Approach to Dissimilarity-based Classification. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:2, n:, pp:175-211 [Journal]
  19. Elzbieta Pekalska, Robert P. W. Duin, Pavel Paclík
    Prototype selection for dissimilarity-based classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:2, pp:189-208 [Journal]
  20. 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. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:8, pp:908-917 [Journal]
  21. Pavel Paclík, Jana Novovicová, Pavel Pudil, Petr Somol
    Road sign classification using Laplace kernel classifier. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2000, v:21, n:13-14, pp:1165-1173 [Journal]
  22. Petr Somol, Pavel Pudil, Jana Novovicová, Pavel Paclík
    Adaptive floating search methods in feature selection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1157-1163 [Journal]
  23. Pavel Paclík, Robert P. W. Duin
    Dissimilarity-based classification of spectra: computational issues. [Citation Graph (0, 0)][DBLP]
    Real-Time Imaging, 2003, v:9, n:4, pp:237-244 [Journal]
  24. Fabrice Colas, Pavel Paclík, Joost N. Kok, Pavel Brazdil
    Does SVM Really Scale Up to Large Bag of Words Feature Spaces? [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:296-307 [Conf]

  25. Variance estimation for two-class and multi-class ROC analysis using operating point averaging. [Citation Graph (, )][DBLP]


  26. A Clustering Based Method for Edge Detection in Hyperspectral Images. [Citation Graph (, )][DBLP]


  27. Markerless human motion capture and pose recognition. [Citation Graph (, )][DBLP]


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