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Robert P. W. Duin: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Robert P. W. Duin, Dick de Ridder
    Neural network experiences between perceptrons and support vectors. [Citation Graph (0, 0)][DBLP]
    BMVC, 1997, pp:- [Conf]
  2. Dick de Ridder, Josef Kittler, Robert P. W. Duin
    Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation. [Citation Graph (0, 0)][DBLP]
    BMVC, 2000, pp:- [Conf]
  3. Robert P. W. Duin, Edwin Th. G. Hoek
    SMD position measurement by a Kohonen network compared with image processing. [Citation Graph (0, 0)][DBLP]
    CAIP, 1995, pp:606-611 [Conf]
  4. Marco Loog, Bram van Ginneken, Robert P. W. Duin
    Dimensionality Reduction by Canonical Contextual Correlation Projections. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2004, pp:562-573 [Conf]
  5. David M. J. Tax, Robert P. W. Duin
    Data domain description using support vectors. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:251-256 [Conf]
  6. Etienne P. Romsom, Robert P. W. Duin
    Model Based Recognition of 3D Objects From Single 2D Images. [Citation Graph (0, 0)][DBLP]
    IAS, 1989, pp:853-863 [Conf]
  7. Piotr Juszczak, Robert P. W. Duin
    Selective Sampling Methods in One-Class Classification Problems. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:140-148 [Conf]
  8. Aarnoud Hoekstra, Servaes A. Tholen, Robert P. W. Duin
    Estimating the Reliability of Neural Network Classifications. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:53-58 [Conf]
  9. Dick de Ridder, Olga Kouropteva, Oleg Okun, Matti Pietikäinen, Robert P. W. Duin
    Supervised Locally Linear Embedding. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:333-341 [Conf]
  10. Alexander Ypma, Co Melissant, Ole Baunbæk-Jensen, Robert P. W. Duin
    Health Monitoring with Learning Methods. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:547-553 [Conf]
  11. Dick de Ridder, Robert P. W. Duin, Piet W. Verbeek, Lucas J. van Vliet
    On the Application of Neural Networks to Non-Linear Image Processing Tasks. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:161-165 [Conf]
  12. Robert P. W. Duin
    Classifiers in Almost Empty Spaces. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2001-2007 [Conf]
  13. Robert P. W. Duin
    The Combining Classifier: To Train or Not to Train? [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2002, pp:765-770 [Conf]
  14. Robert P. W. Duin, Marco Loog, Reinhold Haeb-Umbach
    Multi-Class Linear Feature Extraction by Nonlinear PCA. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2398-2401 [Conf]
  15. 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]
  16. Piotr Juszczak, Robert P. W. Duin
    Selective Sampling Based on the Variation in Label Assignments. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:375-378 [Conf]
  17. Piotr Juszczak, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin
    Domain Based LDA and QDA. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2006, pp:788-791 [Conf]
  18. Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp, Robert P. W. Duin
    Is Independence Good For Combining Classifiers? [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2168-2171 [Conf]
  19. 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]
  20. 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]
  21. 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]
  22. 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]
  23. Elzbieta Pekalska, Robert P. W. Duin
    Classifiers for Dissimilarity-Based Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2012-2016 [Conf]
  24. 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]
  25. Elzbieta Pekalska, Robert P. W. Duin
    Dissimilarity-based classification for vectorial representations. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:137-140 [Conf]
  26. Dick de Ridder, Josef Kittler, Olaf Lemmers, Robert P. W. Duin
    The Adaptive Subspace Map for Texture Segmentation. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:1216-1220 [Conf]
  27. 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]
  28. Marina Skurichina, Alexander Ypma, Robert P. W. Duin
    The Role of Subclasses in Machine Diagnostics. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2668-2671 [Conf]
  29. David M. J. Tax, Robert P. W. Duin
    Data Description in Subspaces. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2672-2675 [Conf]
  30. David M. J. Tax, Robert P. W. Duin
    Using Two-Class Classifiers for Multiclass Classification. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2002, pp:124-127 [Conf]
  31. David M. J. Tax, Robert P. W. Duin
    Linear model combining by optimizing the Area under the ROC curve. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2006, pp:119-122 [Conf]
  32. David M. J. Tax, Alexander Ypma, Robert P. W. Duin
    Pump Failure Detection Using Support Vector Data Descriptions. [Citation Graph (0, 0)][DBLP]
    IDA, 1999, pp:415-426 [Conf]
  33. Mohamed E. M. Musa, Robert P. W. Duin, Dick de Ridder, Volkan Atalay
    Texture Segmentation Using the Mixtures of Principal Component Analyzers. [Citation Graph (0, 0)][DBLP]
    ISCIS, 2003, pp:505-512 [Conf]
  34. Piotr Juszczak, Robert P. W. Duin
    Combining One-Class Classifiers to Classify Missing Data. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:92-101 [Conf]
  35. 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]
  36. 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]
  37. Robert P. W. Duin, David M. J. Tax
    Experiments with Classifier Combining Rules. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2000, pp:16-29 [Conf]
  38. 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]
  39. Elzbieta Pekalska, Robert P. W. Duin
    On Combining Dissimilarity Representations. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:359-368 [Conf]
  40. 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]
  41. 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]
  42. 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]
  43. Marina Skurichina, Robert P. W. Duin
    Boosting in Linear Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2000, pp:190-199 [Conf]
  44. Marina Skurichina, Robert P. W. Duin
    Bagging and the Random Subspace Method for Redundant Feature Spaces. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:1-10 [Conf]
  45. Marina Skurichina, Robert P. W. Duin
    Combining Feature Subsets in Feature Selection. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:165-175 [Conf]
  46. Marina Skurichina, Ludmila Kuncheva, Robert P. W. Duin
    Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:62-71 [Conf]
  47. David M. J. Tax, Robert P. W. Duin
    Combining One-Class Classifiers. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:299-308 [Conf]
  48. 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]
  49. Johannes Buurman, Robert P. W. Duin
    Implementation and Use of Software Scanning on a Small CLIP4 Processor Array. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1988, pp:269-277 [Conf]
  50. Elzbieta Pekalska, Robert P. W. Duin
    Learning with General Proximity Measures. [Citation Graph (0, 0)][DBLP]
    PRIS, 2006, pp:- [Conf]
  51. 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]
  52. 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]
  53. 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]
  54. Robert P. W. Duin, Elzbieta Pekalska
    Structural Inference of Sensor-Based Measurements. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:41-55 [Conf]
  55. Robert P. W. Duin, David M. J. Tax
    Classifier Conditional Posterior Probabilities. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 1998, pp:611-619 [Conf]
  56. 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]
  57. Thomas Landgrebe, Robert P. W. Duin
    Combining Accuracy and Prior Sensitivity for Classifier Design Under Prior Uncertainty. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:512-521 [Conf]
  58. 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]
  59. Marco Loog, Robert P. W. Duin
    Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:508-517 [Conf]
  60. 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]
  61. 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]
  62. 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]
  63. 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]
  64. Dick de Ridder, Robert P. W. Duin, Josef Kittler
    Texture Description by Independent Components. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:587-596 [Conf]
  65. Dick de Ridder, Olaf Lemmers, Robert P. W. Duin, Josef Kittler
    The Adaptive Subspace Map for Image Description and Image Database Retrieval. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2000, pp:94-103 [Conf]
  66. Marina Skurichina, Robert P. W. Duin
    The Role of Combining Rules in Bagging and Boosting. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2000, pp:631-640 [Conf]
  67. Marina Skurichina, Robert P. W. Duin
    Regularization by Adding Redundant Features. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 1998, pp:564-572 [Conf]
  68. 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]
  69. 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]
  70. 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]
  71. David M. J. Tax, Robert P. W. Duin
    Outlier Detection Using Classifier Instability. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 1998, pp:593-601 [Conf]
  72. 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]
  73. 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]
  74. 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]
  75. Alexander Ypma, Amir Leshem, Robert P. W. Duin
    Blind separation of rotating machine sources: bilinear forms and convolutive mixtures [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:49, n:1-4, pp:349-368 [Journal]
  76. 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]
  77. Ludmila Kuncheva, Marina Skurichina, Robert P. W. Duin
    An experimental study on diversity for bagging and boosting with linear classifiers. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2002, v:3, n:4, pp:245-258 [Journal]
  78. 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]
  79. 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]
  80. David M. J. Tax, Robert P. W. Duin
    Uniform Object Generation for Optimizing One-class Classifiers. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:2, n:, pp:155-173 [Journal]
  81. David M. J. Tax, Robert P. W. Duin
    Support Vector Data Description. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:54, n:1, pp:45-66 [Journal]
  82. Marco Loog, Robert P. W. Duin, Max A. Viergever
    The MDF discrimination measure: Fisher in disguise. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:4, pp:563-566 [Journal]
  83. Dick de Ridder, Robert P. W. Duin, Piet W. Verbeek
    The Applicability of Neural Networks to Non-linear Image Processing. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 1999, v:2, n:2, pp:111-128 [Journal]
  84. Marina Skurichina, Robert P. W. Duin
    Bagging, Boosting and the Random Subspace Method for Linear Classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2002, v:5, n:2, pp:121-135 [Journal]
  85. Marina Skurichina, Robert P. W. Duin
    Regularisation of Linear Classifiers by Adding Redundant Features. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 1999, v:2, n:1, pp:44-52 [Journal]
  86. 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]
  87. Anil K. Jain, Robert P. W. Duin, Jianchang Mao
    Statistical Pattern Recognition: A Review. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2000, v:22, n:1, pp:4-37 [Journal]
  88. Josef Kittler, Mohamad Hatef, Robert P. W. Duin, Jiri Matas
    On Combining Classifiers. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:3, pp:226-239 [Journal]
  89. Marco Loog, Robert P. W. Duin, Reinhold Haeb-Umbach
    Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:7, pp:762-766 [Journal]
  90. Marco Loog, Robert P. W. Duin
    Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:6, pp:732-739 [Journal]
  91. Peter J. Verveer, Robert P. W. Duin
    An Evaluation of Intrinsic Dimensionality Estimators. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1995, v:17, n:1, pp:81-86 [Journal]
  92. Ludmila Kuncheva, James C. Bezdek, Robert P. W. Duin
    Decision templates for multiple classifier fusion: an experimental comparison. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2001, v:34, n:2, pp:299-314 [Journal]
  93. Marco Loog, Bram van Ginneken, Robert P. W. Duin
    Dimensionality reduction of image features using the canonical contextual correlation projection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:12, pp:2409-2418 [Journal]
  94. 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]
  95. Marina Skurichina, Robert P. W. Duin
    Bagging for linear classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1998, v:31, n:7, pp:909-930 [Journal]
  96. David M. J. Tax, Martijn van Breukelen, Robert P. W. Duin, Josef Kittler
    Combining multiple classifiers by averaging or by multiplying? [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2000, v:33, n:9, pp:1475-1485 [Journal]
  97. Frits T. Beukema toe Water, Robert P. W. Duin
    Dealing with a priori knowledge by fuzzy labels. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1981, v:14, n:1-6, pp:111-115 [Journal]
  98. 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]
  99. Robert P. W. Duin
    Superlearning and neural network magic. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1994, v:15, n:3, pp:215-217 [Journal]
  100. Robert P. W. Duin
    A note on comparing classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1996, v:17, n:5, pp:529-536 [Journal]
  101. Robert P. W. Duin, Marco Loog, Tin Kam Ho
    Recent submissions in linear dimensionality reduction and face recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:7, pp:707-708 [Journal]
  102. 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]
  103. Robert P. W. Duin, Fabio Roli, Dick de Ridder
    A note on core research issues for statistical pattern recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2002, v:23, n:4, pp:493-499 [Journal]
  104. Robert P. W. Duin, Dick de Ridder, David M. J. Tax
    Experiments with a featureless approach to pattern recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:11-13, pp:1159-1166 [Journal]
  105. Aarnoud Hoekstra, Robert P. W. Duin
    Investigating redundancy in feed-forward neural classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:11-13, pp:1293-1300 [Journal]
  106. 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]
  107. Mohamed E. M. Musa, Dick de Ridder, Robert P. W. Duin, Volkan Atalay
    Almost autonomous training of mixtures of principal component analyzers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:9, pp:1085-1095 [Journal]
  108. 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]
  109. Sarunas Raudys, Robert P. W. Duin
    Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1998, v:19, n:5-6, pp:385-392 [Journal]
  110. Dick de Ridder, Robert P. W. Duin
    Sammon's mapping using neural networks: A comparison. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:11-13, pp:1307-1316 [Journal]
  111. David M. J. Tax, Robert P. W. Duin
    Support vector domain description. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1191-1199 [Journal]
  112. Wouter B. Teeuw, Robert P. W. Duin
    An algorithm for benchmarking an SIMD pyramid with the Abingdon Cross. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1990, v:11, n:7, pp:501-506 [Journal]
  113. 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]
  114. Chris E. van Haersma Buma, Robert P. W. Duin
    Computation of Concave Piecewise Linear Discriminant Functions Using Chebyshev Polynomials. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1976, v:25, n:2, pp:178-186 [Journal]
  115. Robert P. W. Duin
    On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1976, v:25, n:11, pp:1175-1179 [Journal]
  116. Sang-Woon Kim, Robert P. W. Duin
    On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2007, pp:110-121 [Conf]
  117. Wan-Jui Lee, Sergey Verzakov, Robert P. W. Duin
    Kernel Combination Versus Classifier Combination. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:22-31 [Conf]
  118. Manuele Bicego, Elzbieta Pekalska, Robert P. W. Duin
    Group-Induced Vector Spaces. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:190-199 [Conf]
  119. Yunlei Li, Dick de Ridder, Robert P. W. Duin, Marcel J. T. Reinders
    Integration of prior knowledge of measurement noise in kernel density classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2008, v:41, n:1, pp:320-330 [Journal]
  120. Thomas Landgrebe, Robert P. W. Duin
    Approximating the multiclass ROC by pairwise analysis. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2007, v:28, n:13, pp:1747-1758 [Journal]

  121. On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers for Appearance-Based Face Recognition. [Citation Graph (, )][DBLP]


  122. Generalizing Dissimilarity Representations Using Feature Lines. [Citation Graph (, )][DBLP]


  123. Spectral Characterization of Volcanic Earthquakes at Nevado del Ruiz Volcano Using Spectral Band Selection/Extraction Techniques. [Citation Graph (, )][DBLP]


  124. A Combine-Correct-Combine Scheme for Optimizing Dissimilarity-Based Classifiers. [Citation Graph (, )][DBLP]


  125. A Study on Representations for Face Recognition from Thermal Images. [Citation Graph (, )][DBLP]


  126. The Representation of Chemical Spectral Data for Classification. [Citation Graph (, )][DBLP]


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


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


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


  130. An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets. [Citation Graph (, )][DBLP]


  131. Optimal Mean-Precision Classifier. [Citation Graph (, )][DBLP]


  132. A Labelled Graph Based Multiple Classifier System. [Citation Graph (, )][DBLP]


  133. Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems. [Citation Graph (, )][DBLP]


  134. Statistical Analysis of Gait Data to Assist Clinical Decision Making. [Citation Graph (, )][DBLP]


  135. Image Dissimilarity-Based Quantification of Lung Disease from CT. [Citation Graph (, )][DBLP]


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


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


  138. An Inexact Graph Comparison Approach in Joint Eigenspace. [Citation Graph (, )][DBLP]


  139. A Fast Approach to Improve Classification Performance of ECOC Classification Systems. [Citation Graph (, )][DBLP]


  140. Learning Curves for the Analysis of Multiple Instance Classifiers. [Citation Graph (, )][DBLP]


  141. The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure. [Citation Graph (, )][DBLP]


  142. Dissimilarity-Based Multiple Instance Learning. [Citation Graph (, )][DBLP]


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


  144. An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces. [Citation Graph (, )][DBLP]


  145. Architectures for Multidimensional Low- and Intermediate Level Image Processing (Invited). [Citation Graph (, )][DBLP]


  146. Mapping an N N Image on P Processors. [Citation Graph (, )][DBLP]


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


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


  149. Learning from a Test Set. [Citation Graph (, )][DBLP]


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