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Elzbieta Pekalska: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax
    The Characterization of Classification Problems by Classifier Disagreements. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2004, pp:140-143 [Conf]
  2. Elzbieta Pekalska, Robert P. W. Duin
    Classifiers for Dissimilarity-Based Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2012-2016 [Conf]
  3. Elzbieta Pekalska, Robert P. W. Duin
    Prototype Selection for Finding Efficient Representations of Dissimilarity Data. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2002, pp:37-40 [Conf]
  4. Elzbieta Pekalska, Robert P. W. Duin
    Dissimilarity-based classification for vectorial representations. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:137-140 [Conf]
  5. Dick de Ridder, Elzbieta Pekalska, Robert P. W. Duin
    The Economics of Classification: Error vs. Complexity. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2002, pp:244-247 [Conf]
  6. 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]
  7. Elzbieta Pekalska, Robert P. W. Duin
    On Combining Dissimilarity Representations. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:359-368 [Conf]
  8. Elzbieta Pekalska, Robert P. W. Duin, Marina Skurichina
    A Discussion on the Classifier Projection Space for Classifier Combining. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:137-148 [Conf]
  9. Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin
    Combining Fisher Linear Discriminants for Dissimilarity Representations. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2000, pp:117-126 [Conf]
  10. Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin
    Combining Dissimilarity-Based One-Class Classifiers. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:122-133 [Conf]
  11. Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin
    One-Class LP Classifiers for Dissimilarity Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:761-768 [Conf]
  12. Elzbieta Pekalska, Robert P. W. Duin
    Learning with General Proximity Measures. [Citation Graph (0, 0)][DBLP]
    PRIS, 2006, pp:- [Conf]
  13. Robert P. W. Duin, Elzbieta Pekalska
    Possibilities of Zero-Error Recognition by Dissimilarity Representations. [Citation Graph (0, 0)][DBLP]
    PRIS, 2002, pp:20-32 [Conf]
  14. Robert P. W. Duin, Elzbieta Pekalska
    Structural Inference of Sensor-Based Measurements. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:41-55 [Conf]
  15. Artsiom Harol, Elzbieta Pekalska, Serguei Verzakov, Robert P. W. Duin
    Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:613-621 [Conf]
  16. Elzbieta Pekalska, Robert P. W. Duin
    Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:488-497 [Conf]
  17. Elzbieta Pekalska, Robert P. W. Duin, Simon Günter, Horst Bunke
    On Not Making Dissimilarities Euclidean. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:1145-1154 [Conf]
  18. Elzbieta Pekalska, Artsiom Harol, Robert P. W. Duin, Barbara Spillmann, Horst Bunke
    Non-Euclidean or Non-metric Measures Can Be Informative. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:871-880 [Conf]
  19. Barbara Spillmann, Michel Neuhaus, Horst Bunke, Elzbieta Pekalska, Robert P. W. Duin
    Transforming Strings to Vector Spaces Using Prototype Selection. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:287-296 [Conf]
  20. David M. J. Tax, Piotr Juszczak, Elzbieta Pekalska, Robert P. W. Duin
    Outlier Detection Using Ball Descriptions with Adjustable Metric. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:587-595 [Conf]
  21. 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]
  22. 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]
  23. Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robert P. W. Duin
    Pairwise feature evaluation for constructing reduced representations. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2007, v:10, n:1, pp:55-68 [Journal]
  24. 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]
  25. M. Lozano, José Martínez Sotoca, José Salvador Sánchez, Filiberto Pla, Elzbieta Pekalska, Robert P. W. Duin
    Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:10, pp:1827-1838 [Journal]
  26. Robert P. W. Duin, Elzbieta Pekalska, Dick de Ridder
    Relational discriminant analysis. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1175-1181 [Journal]
  27. Elzbieta Pekalska, Robert P. W. Duin
    Dissimilarity representations allow for building good classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2002, v:23, n:8, pp:943-956 [Journal]
  28. Manuele Bicego, Elzbieta Pekalska, Robert P. W. Duin
    Group-Induced Vector Spaces. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:190-199 [Conf]

  29. Clustering-Based Construction of Hidden Markov Models for Generative Kernels. [Citation Graph (, )][DBLP]


  30. On refining dissimilarity matrices for an improved NN learning. [Citation Graph (, )][DBLP]


  31. Indefinite Kernel Fisher Discriminant. [Citation Graph (, )][DBLP]


  32. On Euclidean Corrections for Non-Euclidean Dissimilarities. [Citation Graph (, )][DBLP]


  33. Non-Euclidean Dissimilarities: Causes and Informativeness. [Citation Graph (, )][DBLP]


  34. Pairwise Selection of Features and Prototypes. [Citation Graph (, )][DBLP]


  35. Open Issues in Pattern Recognition. [Citation Graph (, )][DBLP]


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