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| 2012 | ||
|---|---|---|
| 190 | Helena Aidos, Ana L. N. Fred, Robert P. W. Duin: Classification using High Order Dissimilarities in Non-euclidean Spaces. ICPRAM (1) 2012: 306-309 | |
| 189 | Robert P. W. Duin, Elzbieta Pekalska: The dissimilarity space: Bridging structural and statistical pattern recognition. Pattern Recognition Letters 33(7): 826-832 (2012) | |
| 2011 | ||
| 188 | Robert P. W. Duin, Elzbieta Pekalska: The Dissimilarity Representation for Structural Pattern Recognition. CIARP 2011: 1-24 | |
| 187 | Sang-Woon Kim, Robert P. W. Duin: Dissimilarity-Based Classifications in Eigenspaces. CIARP 2011: 425-432 | |
| 186 | Wan-Jui Lee, Robert P. W. Duin, Marco Loog: Generalized Augmentation of Multiple Kernels. MCS 2011: 116-125 | |
| 185 | David M. J. Tax, Marco Loog, Robert P. W. Duin, Veronika Cheplygina, Wan-Jui Lee: Bag Dissimilarities for Multiple Instance Learning. SIMBAD 2011: 222-234 | |
| 184 | Diana Porro-Muñoz, Robert P. W. Duin, Isneri Talavera-Bustamante, Mauricio Orozco-Alzate: A Study on the Influence of Shape in Classifying Small Spectral Data Sets. SIMBAD 2011: 306-320 | |
| 183 | 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) | |
| 182 | Chun-Xia Zhang, Robert P. W. Duin: An experimental study of one- and two-level classifier fusion for different sample sizes. Pattern Recognition Letters 32(14): 1756-1767 (2011) | |
| 181 | Diana Porro-Muñoz, Robert P. W. Duin, Isneri Talavera-Bustamante, Mauricio Orozco-Alzate: Classification of three-way data by the dissimilarity representation. Signal Processing 91(11): 2520-2529 (2011) | |
| 2010 | ||
| 180 | Sang-Woon Kim, Robert P. W. Duin: On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure. CIARP 2010: 418-425 | |
| 179 | Richard C. Wilson, Edwin R. Hancock, Elzbieta Pekalska, Robert P. W. Duin: Spherical embeddings for non-Euclidean dissimilarities. CVPR 2010: 1903-1910 | |
| 178 | Robert P. W. Duin: Non-Euclidean Problems in Pattern Recognition Related to Human Expert Knowledge. ICEIS 2010: 15-28 | |
| 177 | Robert P. W. Duin: Pattern Recognition as a Human Centered non-Euclidean Problem. ICEIS (1) 2010: 5 | |
| 176 | Robert P. W. Duin, Mauricio Orozco-Alzate, John Makario Londoño-Bonilla: Classification of Volcano Events Observed by Multiple Seismic Stations. ICPR 2010: 1052-1055 | |
| 175 | Yenisel Plasencia Calana, Edel B. García Reyes, Mauricio Orozco-Alzate, Robert P. W. Duin: Prototype Selection for Dissimilarity Representation by a Genetic Algorithm. ICPR 2010: 177-180 | |
| 174 | Mehrdad J. Gangeh, Mohamed S. Kamel, Robert P. W. Duin: Random Subspace Method in Text Categorization. ICPR 2010: 2049-2052 | |
| 173 | Pavel Paclík, Carmen Lai, Thomas Landgrebe, Robert P. W. Duin: ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers. ICPR 2010: 2977-2980 | |
| 172 | Alessandro Ibba, Robert P. W. Duin, Wan-Jui Lee: A Study on Combining Sets of Differently Measured Dissimilarities. ICPR 2010: 3360-3363 | |
| 171 | Diana Porro-Muñoz, Robert P. W. Duin, Mauricio Orozco-Alzate, Isneri Talavera-Bustamante, John Makario Londoño-Bonilla: Classifying Three-way Seismic Volcanic Data by Dissimilarity Representation. ICPR 2010: 814-817 | |
| 170 | Robert P. W. Duin, Marco Loog, Elzbieta Pekalska, David M. J. Tax: Feature-Based Dissimilarity Space Classification. ICPR Contests 2010: 46-55 | |
| 169 | Stefan Klein, Marco Loog, Fedde van der Lijn, Tom den Heijer, Alexander Hammers, Marleen de Bruijne, Aad van der Lugt, Robert P. W. Duin, Monique M. B. Breteler, Wiro J. Niessen: Early diagnosis of dementia based on intersubject whole-brain dissimilarities. ISBI 2010: 249-252 | |
| 168 | Wan-Jui Lee, Robert P. W. Duin, Horst Bunke: Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems. MCS 2010: 155-164 | |
| 167 | Lauge Sørensen, Marco Loog, Pechin Lo, Haseem Ashraf, Asger Dirksen, Robert P. W. Duin, Marleen de Bruijne: Image Dissimilarity-Based Quantification of Lung Disease from CT. MICCAI (1) 2010: 37-44 | |
| 166 | Robert P. W. Duin: Pattern Recognition as a Human Centered non-Euclidean Problem. PRIS 2010: 3-12 | |
| 165 | Lauge Sørensen, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin: Dissimilarity-Based Multiple Instance Learning. SSPR/SPR 2010: 129-138 | |
| 164 | Robert P. W. Duin, Elzbieta Pekalska: Non-Euclidean Dissimilarities: Causes and Informativeness. SSPR/SPR 2010: 324-333 | |
| 163 | Sang-Woon Kim, Robert P. W. Duin: An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces. SSPR/SPR 2010: 559-568 | |
| 162 | Diana Porro-Muñoz, Robert P. W. Duin, Mauricio Orozco-Alzate, Isneri Talavera-Bustamante, John Makario Londoño-Bonilla: The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure. SSPR/SPR 2010: 569-578 | |
| 161 | Robert P. W. Duin, Denis Laurendeau, Brian C. Lovell: Award winning papers from the 19th International Conference on Pattern Recognition (ICPR). Pattern Recognition Letters 31(8): 649 (2010) | |
| 160 | Nigar Sen Köktas, Nese Yalabik, Günes Yavuzer, Robert P. W. Duin: A multi-classifier for grading knee osteoarthritis using gait analysis. Pattern Recognition Letters 31(9): 898-904 (2010) | |
| 2009 | ||
| 159 | Yenisel Plasencia, Edel B. García Reyes, Robert P. W. Duin, Heydi Mendez Vazquez, César San Martín, Claudio Soto: A Study on Representations for Face Recognition from Thermal Images. CIARP 2009: 185-192 | |
| 158 | Sang-Woon Kim, Robert P. W. Duin: A Combine-Correct-Combine Scheme for Optimizing Dissimilarity-Based Classifiers. CIARP 2009: 425-432 | |
| 157 | Diana Porro, Robert P. W. Duin, Isneri Talavera-Bustamante, Noslén Hernández-González: The Representation of Chemical Spectral Data for Classification. CIARP 2009: 513-520 | |
| 156 | Manuele Bicego, Marco Cristani, Vittorio Murino, Elzbieta Pekalska, Robert P. W. Duin: Clustering-Based Construction of Hidden Markov Models for Generative Kernels. EMMCVPR 2009: 466-479 | |
| 155 | Nigar Sen Köktas, Robert P. W. Duin: Statistical Analysis of Gait Data to Assist Clinical Decision Making. MCBR-CDS 2009: 61-68 | |
| 154 | Wan-Jui Lee, Robert P. W. Duin: A Labelled Graph Based Multiple Classifier System. MCS 2009: 201-210 | |
| 153 | Chun-Xia Zhang, Robert P. W. Duin: An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets. MCS 2009: 478-487 | |
| 152 | David M. J. Tax, Marco Loog, Robert P. W. Duin: Optimal Mean-Precision Classifier. MCS 2009: 72-81 | |
| 151 | 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 | |
| 150 | Barat Mojaradi, Hamid Abrishami Moghaddam, Mohammad Javad Valadan Zoej, Robert P. W. Duin: Dimensionality Reduction of Hyperspectral Data via Spectral Feature Extraction. IEEE T. Geoscience and Remote Sensing 47(7-2): 2091-2105 (2009) | |
| 149 | Piotr Juszczak, David M. J. Tax, Elzbieta Pekalska, Robert P. W. Duin: Minimum spanning tree based one-class classifier. Neurocomputing 72(7-9): 1859-1869 (2009) | |
| 148 | Manuele Bicego, Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin: Component-based discriminative classification for hidden Markov models. Pattern Recognition 42(11): 2637-2648 (2009) | |
| 147 | Mauricio Orozco-Alzate, Robert P. W. Duin, Germán Castellanos-Domínguez: A generalization of dissimilarity representations using feature lines and feature planes. Pattern Recognition Letters 30(3): 242-254 (2009) | |
| 2008 | ||
| 146 | Mauricio Orozco-Alzate, Marina Skurichina, Robert P. W. Duin: Spectral Characterization of Volcanic Earthquakes at Nevado del Ruiz Volcano Using Spectral Band Selection/Extraction Techniques. CIARP 2008: 708-715 | |
| 145 | Robert P. W. Duin, Elzbieta Pekalska: On refining dissimilarity matrices for an improved NN learning. ICPR 2008: 1-4 | |
| 144 | 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 | |
| 143 | Wan-Jui Lee, Robert P. W. Duin: An Inexact Graph Comparison Approach in Joint Eigenspace. SSPR/SPR 2008: 35-44 | |
| 142 | Paolo Simeone, David M. J. Tax, Robert P. W. Duin, Francesco Tortorella: A Fast Approach to Improve Classification Performance of ECOC Classification Systems. SSPR/SPR 2008: 459-468 | |
| 141 | Robert P. W. Duin, Elzbieta Pekalska, Artsiom Harol, Wan-Jui Lee, Horst Bunke: On Euclidean Corrections for Non-Euclidean Dissimilarities. SSPR/SPR 2008: 551-561 | |
| 140 | David M. J. Tax, Robert P. W. Duin: Learning Curves for the Analysis of Multiple Instance Classifiers. SSPR/SPR 2008: 724-733 | |
| 139 | Thomas Landgrebe, Robert P. W. Duin: Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 30(5): 810-822 (2008) | |
| 138 | Sergio Escalera, David M. J. Tax, Oriol Pujol, Petia Radeva, Robert P. W. Duin: Subclass Problem-Dependent Design for Error-Correcting Output Codes. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1041-1054 (2008) | |
| 137 | Elzbieta Pekalska, Robert P. W. Duin: Beyond Traditional Kernels: Classification in Two Dissimilarity-Based Representation Spaces. IEEE Transactions on Systems, Man, and Cybernetics, Part C 38(6): 729-744 (2008) | |
| 136 | Yunlei Li, Dick de Ridder, Robert P. W. Duin, Marcel J. T. Reinders: Integration of prior knowledge of measurement noise in kernel density classification. Pattern Recognition 41(1): 320-330 (2008) | |
| 135 | Claudio Marrocco, Robert P. W. Duin, Francesco Tortorella: Maximizing the area under the ROC curve by pairwise feature combination. Pattern Recognition 41(6): 1961-1974 (2008) | |
| 134 | David M. J. Tax, Robert P. W. Duin: Growing a multi-class classifier with a reject option. Pattern Recognition Letters 29(10): 1565-1570 (2008) | |
| 2007 | ||
| 133 | Mauricio Orozco-Alzate, Robert P. W. Duin, César Germán Castellanos-Domínguez: Generalizing Dissimilarity Representations Using Feature Lines. CIARP 2007: 370-379 | |
| 132 | Sang-Woon Kim, Robert P. W. Duin: On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers for Appearance-Based Face Recognition. CIARP 2007: 466-476 | |
| 131 | Sang-Woon Kim, Robert P. W. Duin: On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition. Canadian Conference on AI 2007: 110-121 | |
| 130 | Manuele Bicego, Elzbieta Pekalska, Robert P. W. Duin: Group-Induced Vector Spaces. MCS 2007: 190-199 | |
| 129 | Wan-Jui Lee, Sergey Verzakov, Robert P. W. Duin: Kernel Combination Versus Classifier Combination. MCS 2007: 22-31 | |
| 128 | Robert P. W. Duin, Elzbieta Pekalska: The Science of Pattern Recognition. Achievements and Perspectives. Challenges for Computational Intelligence 2007: 221-259 | |
| 127 | Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robert P. W. Duin: Pairwise feature evaluation for constructing reduced representations. Pattern Anal. Appl. 10(1): 55-68 (2007) | |
| 126 | Thomas Landgrebe, Robert P. W. Duin: Approximating the multiclass ROC by pairwise analysis. Pattern Recognition Letters 28(13): 1747-1758 (2007) | |
| 2006 | ||
| 125 | Piotr Juszczak, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin: Domain Based LDA and QDA. ICPR (2) 2006: 788-791 | |
| 124 | Elzbieta Pekalska, Robert P. W. Duin: Dissimilarity-based classification for vectorial representations. ICPR (3) 2006: 137-140 | |
| 123 | Pavel Paclík, Jana Novovicová, Robert P. W. Duin: A Trainable Similarity Measure for Image Classification. ICPR (3) 2006: 391-394 | |
| 122 | David M. J. Tax, Robert P. W. Duin: Linear model combining by optimizing the Area under the ROC curve. ICPR (4) 2006: 119-122 | |
| 121 | Thomas Landgrebe, Pavel Paclík, Robert P. W. Duin: Precision-recall operating characteristic (P-ROC) curves in imprecise environments. ICPR (4) 2006: 123-127 | |
| 120 | Elzbieta Pekalska, Robert P. W. Duin: Learning with General Proximity Measures. PRIS 2006 | |
| 119 | Barbara Spillmann, Michel Neuhaus, Horst Bunke, Elzbieta Pekalska, Robert P. W. Duin: Transforming Strings to Vector Spaces Using Prototype Selection. SSPR/SPR 2006: 287-296 | |
| 118 | Robert P. W. Duin, Elzbieta Pekalska: Structural Inference of Sensor-Based Measurements. SSPR/SPR 2006: 41-55 | |
| 117 | Thomas Landgrebe, Robert P. W. Duin: Combining Accuracy and Prior Sensitivity for Classifier Design Under Prior Uncertainty. SSPR/SPR 2006: 512-521 | |
| 116 | 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 | |
| 115 | Serguei Verzakov, Pavel Paclík, Robert P. W. Duin: Edge Detection in Hyperspectral Imaging: Multivariate Statistical Approaches. SSPR/SPR 2006: 551-559 | |
| 114 | David M. J. Tax, Piotr Juszczak, Elzbieta Pekalska, Robert P. W. Duin: Outlier Detection Using Ball Descriptions with Adjustable Metric. SSPR/SPR 2006: 587-595 | |
| 113 | Artsiom Harol, Elzbieta Pekalska, Serguei Verzakov, Robert P. W. Duin: Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces. SSPR/SPR 2006: 613-621 | |
| 112 | Elzbieta Pekalska, Artsiom Harol, Robert P. W. Duin, Barbara Spillmann, Horst Bunke: Non-Euclidean or Non-metric Measures Can Be Informative. SSPR/SPR 2006: 871-880 | |
| 111 | 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) | |
| 110 | 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) | |
| 109 | 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. Pattern Recognition 39(10): 1827-1838 (2006) | |
| 108 | Elzbieta Pekalska, Robert P. W. Duin, Pavel Paclík: Prototype selection for dissimilarity-based classifiers. Pattern Recognition 39(2): 189-208 (2006) | |
| 107 | Robert P. W. Duin, Marco Loog, Tin Kam Ho: Recent submissions in linear dimensionality reduction and face recognition. Pattern Recognition Letters 27(7): 707-708 (2006) | |
| 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. Pattern Recognition Letters 27(8): 908-917 (2006) | |
| 2005 | ||
| 105 | Piotr Juszczak, Robert P. W. Duin: Learning from a Test Set. CORES 2005: 203-210 | |
| 104 | Robert P. W. Duin, Elzbieta Pekalska: Open Issues in Pattern Recognition. CORES 2005: 27-42 | |
| 103 | Elzbieta Pekalska, Artsiom Harol, Carmen Lai, Robert P. W. Duin: Pairwise Selection of Features and Prototypes. CORES 2005: 271-278 | |
| 102 | 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 | |
| 101 | Marina Skurichina, Robert P. W. Duin: Combining Feature Subsets in Feature Selection. Multiple Classifier Systems 2005: 165-175 | |
| 100 | Thomas Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin: Optimising Two-Stage Recognition Systems. Multiple Classifier Systems 2005: 206-215 | |
| 99 | Serguei Verzakov, Pavel Paclík, Robert P. W. Duin: The Tangent Kernel Approach to Illumination-Robust Texture Classification. SCIA 2005: 1009-1016 | |
| 98 | 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 | |
| 97 | Marco Loog, Bram van Ginneken, Robert P. W. Duin: Dimensionality reduction of image features using the canonical contextual correlation projection. Pattern Recognition 38(12): 2409-2418 (2005) | |
| 2004 | ||
| 96 | Ana L. N. Fred, Terry Caelli, Robert P. W. Duin, Aurélio C. Campilho, Dick de Ridder: Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 Proceedings Springer 2004 | |
| 95 | Marco Loog, Bram van Ginneken, Robert P. W. Duin: Dimensionality Reduction by Canonical Contextual Correlation Projections. ECCV (1) 2004: 562-573 | |
| 94 | Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax: The Characterization of Classification Problems by Classifier Disagreements. ICPR (1) 2004: 140-143 | |
| 93 | Piotr Juszczak, Robert P. W. Duin: Selective Sampling Based on the Variation in Label Assignments. ICPR (3) 2004: 375-378 | |
| 92 | 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 | |
| 91 | Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin: Combining Dissimilarity-Based One-Class Classifiers. Multiple Classifier Systems 2004: 122-133 | |
| 90 | Piotr Juszczak, Robert P. W. Duin: Combining One-Class Classifiers to Classify Missing Data. Multiple Classifier Systems 2004: 92-101 | |
| 89 | Serguei Verzakov, Pavel Paclík, Robert P. W. Duin: Feature Shaving for Spectroscopic Data. SSPR/SPR 2004: 1026-1033 | |
| 88 | 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 | |
| 87 | Elzbieta Pekalska, Robert P. W. Duin, Simon Günter, Horst Bunke: On Not Making Dissimilarities Euclidean. SSPR/SPR 2004: 1145-1154 | |
| 86 | 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 | |
| 85 | Marco Loog, Robert P. W. Duin: Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion. IEEE Trans. Pattern Anal. Mach. Intell. 26(6): 732-739 (2004) | |
| 84 | 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) | |
| 83 | David M. J. Tax, Robert P. W. Duin: Support Vector Data Description. Machine Learning 54(1): 45-66 (2004) | |
| 82 | Marco Loog, Robert P. W. Duin, Max A. Viergever: The MDF discrimination measure: Fisher in disguise. Neural Networks 17(4): 563-566 (2004) | |
| 81 | Mohamed E. M. Musa, Dick de Ridder, Robert P. W. Duin, Volkan Atalay: Almost autonomous training of mixtures of principal component analyzers. Pattern Recognition Letters 25(9): 1085-1095 (2004) | |
| 2003 | ||
| 80 | Piotr Juszczak, Robert P. W. Duin: Selective Sampling Methods in One-Class Classification Problems. ICANN 2003: 140-148 | |
| 79 | Dick de Ridder, Olga Kouropteva, Oleg Okun, Matti Pietikäinen, Robert P. W. Duin: Supervised Locally Linear Embedding. ICANN 2003: 333-341 | |
| 78 | Mohamed E. M. Musa, Robert P. W. Duin, Dick de Ridder, Volkan Atalay: Texture Segmentation Using the Mixtures of Principal Component Analyzers. ISCIS 2003: 505-512 | |
| 77 | 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) | |
| 76 | Pavel Paclík, Robert P. W. Duin: Dissimilarity-based classification of spectra: computational issues. Real-Time Imaging 9(4): 237-244 (2003) | |
| 2002 | ||
| 75 | Terry Caelli, Adnan Amin, Robert P. W. Duin, Mohamed S. Kamel, Dick de Ridder: Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops SSPR 2002 and SPR 2002, Windsor, Ontario, Canada, August 6-9, 2002, Proceedings Springer 2002 | |
| 74 | David M. J. Tax, Robert P. W. Duin: Using Two-Class Classifiers for Multiclass Classification. ICPR (2) 2002: 124-127 | |
| 73 | Dick de Ridder, Elzbieta Pekalska, Robert P. W. Duin: The Economics of Classification: Error vs. Complexity. ICPR (2) 2002: 244-247 | |
| 72 | 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 | |
| 71 | Robert P. W. Duin: The Combining Classifier: To Train or Not to Train? ICPR (2) 2002: 765-770 | |
| 70 | Elzbieta Pekalska, Robert P. W. Duin: Prototype Selection for Finding Efficient Representations of Dissimilarity Data. ICPR (3) 2002: 37-40 | |
| 69 | Elzbieta Pekalska, Robert P. W. Duin, Marina Skurichina: A Discussion on the Classifier Projection Space for Classifier Combining. Multiple Classifier Systems 2002: 137-148 | |
| 68 | 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 | |
| 67 | Marina Skurichina, Ludmila Kuncheva, Robert P. W. Duin: Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy. Multiple Classifier Systems 2002: 62-71 | |
| 66 | Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin: One-Class LP Classifiers for Dissimilarity Representations. NIPS 2002: 761-768 | |
| 65 | Robert P. W. Duin, Elzbieta Pekalska: Possibilities of Zero-Error Recognition by Dissimilarity Representations. PRIS 2002: 20-32 | |
| 64 | 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 | |
| 63 | Elzbieta Pekalska, Robert P. W. Duin: Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings. SSPR/SPR 2002: 488-497 | |
| 62 | Marco Loog, Robert P. W. Duin: Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data. SSPR/SPR 2002: 508-517 | |
| 61 | Dick de Ridder, Robert P. W. Duin, Josef Kittler: Texture Description by Independent Components. SSPR/SPR 2002: 587-596 | |
| 60 | Ludmila Kuncheva, Marina Skurichina, Robert P. W. Duin: An experimental study on diversity for bagging and boosting with linear classifiers. Information Fusion 3(4): 245-258 (2002) | |
| 59 | Alexander Ypma, Amir Leshem, Robert P. W. Duin: Blind separation of rotating machine sources: bilinear forms and convolutive mixtures Neurocomputing 49(1-4): 349-368 (2002) | |
| 58 | Marina Skurichina, Robert P. W. Duin: Bagging, Boosting and the Random Subspace Method for Linear Classifiers. Pattern Anal. Appl. 5(2): 121-135 (2002) | |
| 57 | Robert P. W. Duin, Fabio Roli, Dick de Ridder: A note on core research issues for statistical pattern recognition. Pattern Recognition Letters 23(4): 493-499 (2002) | |
| 56 | Elzbieta Pekalska, Robert P. W. Duin: Dissimilarity representations allow for building good classifiers. Pattern Recognition Letters 23(8): 943-956 (2002) | |
| 2001 | ||
| 55 | Alexander Ypma, Co Melissant, Ole Baunbæk-Jensen, Robert P. W. Duin: Health Monitoring with Learning Methods. ICANN 2001: 547-553 | |
| 54 | Marina Skurichina, Robert P. W. Duin: Bagging and the Random Subspace Method for Redundant Feature Spaces. Multiple Classifier Systems 2001: 1-10 | |
| 53 | David M. J. Tax, Robert P. W. Duin: Combining One-Class Classifiers. Multiple Classifier Systems 2001: 299-308 | |
| 52 | Elzbieta Pekalska, Robert P. W. Duin: On Combining Dissimilarity Representations. Multiple Classifier Systems 2001: 359-368 | |
| 51 | Marco Loog, Robert P. W. Duin, Reinhold Haeb-Umbach: Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria. IEEE Trans. Pattern Anal. Mach. Intell. 23(7): 762-766 (2001) | |
| 50 | David M. J. Tax, Robert P. W. Duin: Uniform Object Generation for Optimizing One-class Classifiers. Journal of Machine Learning Research 2: 155-173 (2001) | |
| 49 | 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) | |
| 48 | Ludmila Kuncheva, James C. Bezdek, Robert P. W. Duin: Decision templates for multiple classifier fusion: an experimental comparison. Pattern Recognition 34(2): 299-314 (2001) | |
| 2000 | ||
| 47 | Dick de Ridder, Josef Kittler, Robert P. W. Duin: Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation. BMVC 2000 | |
| 46 | Dick de Ridder, Josef Kittler, Olaf Lemmers, Robert P. W. Duin: The Adaptive Subspace Map for Texture Segmentation. ICPR 2000: 1216-1220 | |
| 45 | Robert P. W. Duin: Classifiers in Almost Empty Spaces. ICPR 2000: 2001-2007 | |
| 44 | Elzbieta Pekalska, Robert P. W. Duin: Classifiers for Dissimilarity-Based Pattern Recognition. ICPR 2000: 2012-2016 | |
| 43 | Ludmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp, Robert P. W. Duin: Is Independence Good For Combining Classifiers? ICPR 2000: 2168-2171 | |
| 42 | Robert P. W. Duin, Marco Loog, Reinhold Haeb-Umbach: Multi-Class Linear Feature Extraction by Nonlinear PCA. ICPR 2000: 2398-2401 | |
| 41 | Marina Skurichina, Alexander Ypma, Robert P. W. Duin: The Role of Subclasses in Machine Diagnostics. ICPR 2000: 2668-2671 | |
| 40 | David M. J. Tax, Robert P. W. Duin: Data Description in Subspaces. ICPR 2000: 2672-2675 | |
| 39 | Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin: Combining Fisher Linear Discriminants for Dissimilarity Representations. Multiple Classifier Systems 2000: 117-126 | |
| 38 | Robert P. W. Duin, David M. J. Tax: Experiments with Classifier Combining Rules. Multiple Classifier Systems 2000: 16-29 | |
| 37 | Marina Skurichina, Robert P. W. Duin: Boosting in Linear Discriminant Analysis. Multiple Classifier Systems 2000: 190-199 | |
| 36 | Marina Skurichina, Robert P. W. Duin: The Role of Combining Rules in Bagging and Boosting. SSPR/SPR 2000: 631-640 | |
| 35 | Dick de Ridder, Olaf Lemmers, Robert P. W. Duin, Josef Kittler: The Adaptive Subspace Map for Image Description and Image Database Retrieval. SSPR/SPR 2000: 94-103 | |
| 34 | Marina Skurichina, Sarunas Raudys, Robert P. W. Duin: k-nearest neighbors directed noise injection in multilayer perceptron training. IEEE Trans. Neural Netw. Learning Syst. 11(2): 504-511 (2000) | |
| 33 | Anil K. Jain, Robert P. W. Duin, Jianchang Mao: Statistical Pattern Recognition: A Review. IEEE Trans. Pattern Anal. Mach. Intell. 22(1): 4-37 (2000) | |
| 32 | David M. J. Tax, Martijn van Breukelen, Robert P. W. Duin, Josef Kittler: Combining multiple classifiers by averaging or by multiplying? Pattern Recognition 33(9): 1475-1485 (2000) | |
| 1999 | ||
| 31 | David M. J. Tax, Robert P. W. Duin: Data domain description using support vectors. ESANN 1999: 251-256 | |
| 30 | David M. J. Tax, Alexander Ypma, Robert P. W. Duin: Pump Failure Detection Using Support Vector Data Descriptions. IDA 1999: 415-426 | |
| 29 | Marina Skurichina, Robert P. W. Duin: Regularisation of Linear Classifiers by Adding Redundant Features. Pattern Anal. Appl. 2(1): 44-52 (1999) | |
| 28 | Dick de Ridder, Robert P. W. Duin, Piet W. Verbeek: The Applicability of Neural Networks to Non-linear Image Processing. Pattern Anal. Appl. 2(2): 111-128 (1999) | |
| 27 | Robert P. W. Duin, Elzbieta Pekalska, Dick de Ridder: Relational discriminant analysis. Pattern Recognition Letters 20(11-13): 1175-1181 (1999) | |
| 26 | David M. J. Tax, Robert P. W. Duin: Support vector domain description. Pattern Recognition Letters 20(11-13): 1191-1199 (1999) | |
| 1998 | ||
| 25 | 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. ICONIP 1998: 161-165 | |
| 24 | Marina Skurichina, Robert P. W. Duin: Regularization by Adding Redundant Features. SSPR/SPR 1998: 564-572 | |
| 23 | David M. J. Tax, Robert P. W. Duin: Outlier Detection Using Classifier Instability. SSPR/SPR 1998: 593-601 | |
| 22 | Robert P. W. Duin, David M. J. Tax: Classifier Conditional Posterior Probabilities. SSPR/SPR 1998: 611-619 | |
| 21 | Josef Kittler, Mohamad Hatef, Robert P. W. Duin, Jiri Matas: On Combining Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 20(3): 226-239 (1998) | |
| 20 | Marina Skurichina, Robert P. W. Duin: Bagging for linear classifiers. Pattern Recognition 31(7): 909-930 (1998) | |
| 19 | Sarunas Raudys, Robert P. W. Duin: Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix. Pattern Recognition Letters 19(5-6): 385-392 (1998) | |
| 1997 | ||
| 18 | Robert P. W. Duin, Dick de Ridder: Neural network experiences between perceptrons and support vectors. BMVC 1997 | |
| 17 | Robert P. W. Duin, Dick de Ridder, David M. J. Tax: Experiments with a featureless approach to pattern recognition. Pattern Recognition Letters 18(11-13): 1159-1166 (1997) | |
| 16 | Aarnoud Hoekstra, Robert P. W. Duin: Investigating redundancy in feed-forward neural classifiers. Pattern Recognition Letters 18(11-13): 1293-1300 (1997) | |
| 15 | Dick de Ridder, Robert P. W. Duin: Sammon's mapping using neural networks: A comparison. Pattern Recognition Letters 18(11-13): 1307-1316 (1997) | |
| 1996 | ||
| 14 | Aarnoud Hoekstra, Servaes A. Tholen, Robert P. W. Duin: Estimating the Reliability of Neural Network Classifications. ICANN 1996: 53-58 | |
| 13 | Robert P. W. Duin: A note on comparing classifiers. Pattern Recognition Letters 17(5): 529-536 (1996) | |
| 1995 | ||
| 12 | Robert P. W. Duin, Edwin Th. G. Hoek: SMD position measurement by a Kohonen network compared with image processing. CAIP 1995: 606-611 | |
| 11 | Peter J. Verveer, Robert P. W. Duin: An Evaluation of Intrinsic Dimensionality Estimators. IEEE Trans. Pattern Anal. Mach. Intell. 17(1): 81-86 (1995) | |
| 1994 | ||
| 10 | Robert P. W. Duin: Superlearning and neural network magic. Pattern Recognition Letters 15(3): 215-217 (1994) | |
| 1990 | ||
| 9 | Pieter P. Jonker, Erwin R. Komen, Robert P. W. Duin: Architectures for Multidimensional Low- and Intermediate Level Image Processing (Invited). MVA 1990: 307-316 | |
| 8 | Erwin R. Komen, Wouter B. Teeuw, Robert P. W. Duin, Pieter P. Jonker: Mapping an N N Image on P Processors. MVA 1990: 327-330 | |
| 7 | Wouter B. Teeuw, Robert P. W. Duin: An algorithm for benchmarking an SIMD pyramid with the Abingdon Cross. Pattern Recognition Letters 11(7): 501-506 (1990) | |
| 1989 | ||
| 6 | Etienne P. Romsom, Robert P. W. Duin: Model Based Recognition of 3D Objects From Single 2D Images. IAS 1989: 853-863 | |
| 1988 | ||
| 5 | Johannes Buurman, Robert P. W. Duin: Implementation and Use of Software Scanning on a Small CLIP4 Processor Array. Pattern Recognition 1988: 269-277 | |
| 1984 | ||
| 4 | L. Dorst, Robert P. W. Duin: Spirograph Theory: A Framework for Calculations on Digitized Straight Lines. IEEE Trans. Pattern Anal. Mach. Intell. 6(5): 632-639 (1984) | |
| 1981 | ||
| 3 | Frits T. Beukema toe Water, Robert P. W. Duin: Dealing with a priori knowledge by fuzzy labels. Pattern Recognition 14(1-6): 111-115 (1981) | |
| 1976 | ||
| 2 | Robert P. W. Duin: On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions. IEEE Trans. Computers 25(11): 1175-1179 (1976) | |
| 1 | Chris E. van Haersma Buma, Robert P. W. Duin: Computation of Concave Piecewise Linear Discriminant Functions Using Chebyshev Polynomials. IEEE Trans. Computers 25(2): 178-186 (1976) | |
Colors in the list of coauthors
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