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Robert P. W. Duin Vis

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*2009
150EEManuele 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
149EEWan-Jui Lee, Robert P. W. Duin: A Labelled Graph Based Multiple Classifier System. MCS 2009: 201-210
148EEChun-Xia Zhang, Robert P. W. Duin: An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets. MCS 2009: 478-487
147EEDavid M. J. Tax, Marco Loog, Robert P. W. Duin: Optimal Mean-Precision Classifier. MCS 2009: 72-81
146EEV. C. Dinh, Raimund Leitner, Pavel Paclík, Robert P. W. Duin: A Clustering Based Method for Edge Detection in Hyperspectral Images. SCIA 2009: 580-587
145EEPiotr 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)
144EEManuele 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)
143EEMauricio 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
142EEMauricio 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
141EERobert P. W. Duin, Elzbieta Pekalska: On refining dissimilarity matrices for an improved NN learning. ICPR 2008: 1-4
140EEPavel 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
139EEWan-Jui Lee, Robert P. W. Duin: An Inexact Graph Comparison Approach in Joint Eigenspace. SSPR/SPR 2008: 35-44
138EEPaolo 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
137EERobert P. W. Duin, Elzbieta Pekalska, Artsiom Harol, Wan-Jui Lee, Horst Bunke: On Euclidean Corrections for Non-Euclidean Dissimilarities. SSPR/SPR 2008: 551-561
136EEDavid M. J. Tax, Robert P. W. Duin: Learning Curves for the Analysis of Multiple Instance Classifiers. SSPR/SPR 2008: 724-733
135EEThomas 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)
134EESergio 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)
133EEYunlei 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)
132EEClaudio 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)
131EEDavid 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
130EEMauricio Orozco-Alzate, Robert P. W. Duin, César Germán Castellanos-Domínguez: Generalizing Dissimilarity Representations Using Feature Lines. CIARP 2007: 370-379
129EESang-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
128EESang-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
127EEManuele Bicego, Elzbieta Pekalska, Robert P. W. Duin: Group-Induced Vector Spaces. MCS 2007: 190-199
126EEWan-Jui Lee, Sergey Verzakov, Robert P. W. Duin: Kernel Combination Versus Classifier Combination. MCS 2007: 22-31
125EERobert P. W. Duin, Elzbieta Pekalska: The Science of Pattern Recognition. Achievements and Perspectives. Challenges for Computational Intelligence 2007: 221-259
124EEArtsiom Harol, Carmen Lai, Elzbieta Pekalska, Robert P. W. Duin: Pairwise feature evaluation for constructing reduced representations. Pattern Anal. Appl. 10(1): 55-68 (2007)
123EEThomas Landgrebe, Robert P. W. Duin: Approximating the multiclass ROC by pairwise analysis. Pattern Recognition Letters 28(13): 1747-1758 (2007)
2006
122EEPiotr Juszczak, David M. J. Tax, Serguei Verzakov, Robert P. W. Duin: Domain Based LDA and QDA. ICPR (2) 2006: 788-791
121EEElzbieta Pekalska, Robert P. W. Duin: Dissimilarity-based classification for vectorial representations. ICPR (3) 2006: 137-140
120EEPavel Paclík, Jana Novovicová, Robert P. W. Duin: A Trainable Similarity Measure for Image Classification. ICPR (3) 2006: 391-394
119EEDavid M. J. Tax, Robert P. W. Duin: Linear model combining by optimizing the Area under the ROC curve. ICPR (4) 2006: 119-122
118EEThomas Landgrebe, Pavel Paclík, Robert P. W. Duin: Precision-recall operating characteristic (P-ROC) curves in imprecise environments. ICPR (4) 2006: 123-127
117 Elzbieta Pekalska, Robert P. W. Duin: Learning with General Proximity Measures. PRIS 2006
116EEBarbara Spillmann, Michel Neuhaus, Horst Bunke, Elzbieta Pekalska, Robert P. W. Duin: Transforming Strings to Vector Spaces Using Prototype Selection. SSPR/SPR 2006: 287-296
115EERobert P. W. Duin, Elzbieta Pekalska: Structural Inference of Sensor-Based Measurements. SSPR/SPR 2006: 41-55
114EEThomas Landgrebe, Robert P. W. Duin: Combining Accuracy and Prior Sensitivity for Classifier Design Under Prior Uncertainty. SSPR/SPR 2006: 512-521
113EEMarina Skurichina, Serguei Verzakov, Pavel Paclík, Robert P. W. Duin: Effectiveness of Spectral Band Selection/Extraction Techniques for Spectral Data. SSPR/SPR 2006: 541-550
112EESerguei Verzakov, Pavel Paclík, Robert P. W. Duin: Edge Detection in Hyperspectral Imaging: Multivariate Statistical Approaches. SSPR/SPR 2006: 551-559
111EEDavid M. J. Tax, Piotr Juszczak, Elzbieta Pekalska, Robert P. W. Duin: Outlier Detection Using Ball Descriptions with Adjustable Metric. SSPR/SPR 2006: 587-595
110EEArtsiom Harol, Elzbieta Pekalska, Serguei Verzakov, Robert P. W. Duin: Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces. SSPR/SPR 2006: 613-621
109EEElzbieta 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
108EEPavel 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)
107EEM. 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)
106EEElzbieta Pekalska, Robert P. W. Duin, Pavel Paclík: Prototype selection for dissimilarity-based classifiers. Pattern Recognition 39(2): 189-208 (2006)
105EERobert 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)
104EEThomas 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
103EEPiotr Juszczak, Robert P. W. Duin: Learning from a Test Set. CORES 2005: 203-210
102EERobert P. W. Duin, Elzbieta Pekalska: Open Issues in Pattern Recognition. CORES 2005: 27-42
101EEElzbieta Pekalska, Artsiom Harol, Carmen Lai, Robert P. W. Duin: Pairwise Selection of Features and Prototypes. CORES 2005: 271-278
100EEPavel 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
99EEMarina Skurichina, Robert P. W. Duin: Combining Feature Subsets in Feature Selection. Multiple Classifier Systems 2005: 165-175
98EEThomas Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin: Optimising Two-Stage Recognition Systems. Multiple Classifier Systems 2005: 206-215
97EESerguei Verzakov, Pavel Paclík, Robert P. W. Duin: The Tangent Kernel Approach to Illumination-Robust Texture Classification. SCIA 2005: 1009-1016
96EEPavel 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
95EEMarco 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
94 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
93EEMarco Loog, Bram van Ginneken, Robert P. W. Duin: Dimensionality Reduction by Canonical Contextual Correlation Projections. ECCV (1) 2004: 562-573
92EERobert P. W. Duin, Elzbieta Pekalska, David M. J. Tax: The Characterization of Classification Problems by Classifier Disagreements. ICPR (1) 2004: 140-143
91EEPiotr Juszczak, Robert P. W. Duin: Selective Sampling Based on the Variation in Label Assignments. ICPR (3) 2004: 375-378
90EEPavel Paclík, Serguei Verzakov, Robert P. W. Duin: Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data. ICPR (4) 2004: 629-632
89EEElzbieta Pekalska, Marina Skurichina, Robert P. W. Duin: Combining Dissimilarity-Based One-Class Classifiers. Multiple Classifier Systems 2004: 122-133
88EEPiotr Juszczak, Robert P. W. Duin: Combining One-Class Classifiers to Classify Missing Data. Multiple Classifier Systems 2004: 92-101
87EESerguei Verzakov, Pavel Paclík, Robert P. W. Duin: Feature Shaving for Spectroscopic Data. SSPR/SPR 2004: 1026-1033
86EEMarina 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
85EEElzbieta Pekalska, Robert P. W. Duin, Simon Günter, Horst Bunke: On Not Making Dissimilarities Euclidean. SSPR/SPR 2004: 1145-1154
84EEThomas 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
83EEMarco 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)
82EECarmen 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)
81EEDavid M. J. Tax, Robert P. W. Duin: Support Vector Data Description. Machine Learning 54(1): 45-66 (2004)
80EEMarco Loog, Robert P. W. Duin, Max A. Viergever: The MDF discrimination measure: Fisher in disguise. Neural Networks 17(4): 563-566 (2004)
79EEMohamed 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
78EEPiotr Juszczak, Robert P. W. Duin: Selective Sampling Methods in One-Class Classification Problems. ICANN 2003: 140-148
77EEDick de Ridder, Olga Kouropteva, Oleg Okun, Matti Pietikäinen, Robert P. W. Duin: Supervised Locally Linear Embedding. ICANN 2003: 333-341
76EEMohamed 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
75EEPavel 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)
74EEPavel Paclík, Robert P. W. Duin: Dissimilarity-based classification of spectra: computational issues. Real-Time Imaging 9(4): 237-244 (2003)
2002
73 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
72EEDavid M. J. Tax, Robert P. W. Duin: Using Two-Class Classifiers for Multiclass Classification. ICPR (2) 2002: 124-127
71EEDick de Ridder, Elzbieta Pekalska, Robert P. W. Duin: The Economics of Classification: Error vs. Complexity. ICPR (2) 2002: 244-247
70EEPavel Paclík, Robert P. W. Duin, Geert M. P. van Kempen, Reinhard Kohlus: Supervised Segmentation of Textures in Backscatter Images. ICPR (2) 2002: 490-493
69EERobert P. W. Duin: The Combining Classifier: To Train or Not to Train? ICPR (2) 2002: 765-770
68EEElzbieta Pekalska, Robert P. W. Duin: Prototype Selection for Finding Efficient Representations of Dissimilarity Data. ICPR (3) 2002: 37-40
67EEElzbieta Pekalska, Robert P. W. Duin, Marina Skurichina: A Discussion on the Classifier Projection Space for Classifier Combining. Multiple Classifier Systems 2002: 137-148
66EECarmen 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
65EEMarina 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
64EEElzbieta Pekalska, David M. J. Tax, Robert P. W. Duin: One-Class LP Classifiers for Dissimilarity Representations. NIPS 2002: 761-768
63 Robert P. W. Duin, Elzbieta Pekalska: Possibilities of Zero-Error Recognition by Dissimilarity Representations. PRIS 2002: 20-32
62EEPavel 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
61EEElzbieta Pekalska, Robert P. W. Duin: Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings. SSPR/SPR 2002: 488-497
60EEMarco Loog, Robert P. W. Duin: Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data. SSPR/SPR 2002: 508-517
59EEDick de Ridder, Robert P. W. Duin, Josef Kittler: Texture Description by Independent Components. SSPR/SPR 2002: 587-596
58EELudmila 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)
57EEAlexander 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)
56EEMarina Skurichina, Robert P. W. Duin: Bagging, Boosting and the Random Subspace Method for Linear Classifiers. Pattern Anal. Appl. 5(2): 121-135 (2002)
55EERobert 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)
54EEElzbieta Pekalska, Robert P. W. Duin: Dissimilarity representations allow for building good classifiers. Pattern Recognition Letters 23(8): 943-956 (2002)
2001
53EEAlexander Ypma, Co Melissant, Ole Baunbæk-Jensen, Robert P. W. Duin: Health Monitoring with Learning Methods. ICANN 2001: 547-553
52EEMarina Skurichina, Robert P. W. Duin: Bagging and the Random Subspace Method for Redundant Feature Spaces. Multiple Classifier Systems 2001: 1-10
51EEDavid M. J. Tax, Robert P. W. Duin: Combining One-Class Classifiers. Multiple Classifier Systems 2001: 299-308
50EEElzbieta Pekalska, Robert P. W. Duin: On Combining Dissimilarity Representations. Multiple Classifier Systems 2001: 359-368
49EEMarco 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)
48EEDavid M. J. Tax, Robert P. W. Duin: Uniform Object Generation for Optimizing One-class Classifiers. Journal of Machine Learning Research 2: 155-173 (2001)
47EEElzbieta Pekalska, Pavel Paclík, Robert P. W. Duin: A Generalized Kernel Approach to Dissimilarity-based Classification. Journal of Machine Learning Research 2: 175-211 (2001)
46EELudmila 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
45EEDick de Ridder, Josef Kittler, Robert P. W. Duin: Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation. BMVC 2000
44EEDick de Ridder, Josef Kittler, Olaf Lemmers, Robert P. W. Duin: The Adaptive Subspace Map for Texture Segmentation. ICPR 2000: 1216-1220
43EERobert P. W. Duin: Classifiers in Almost Empty Spaces. ICPR 2000: 2001-2007
42EEElzbieta Pekalska, Robert P. W. Duin: Classifiers for Dissimilarity-Based Pattern Recognition. ICPR 2000: 2012-2016
41EELudmila I. Kuncheva, Christopher J. Whitaker, Catherine A. Shipp, Robert P. W. Duin: Is Independence Good For Combining Classifiers? ICPR 2000: 2168-2171
40EERobert P. W. Duin, Marco Loog, Reinhold Haeb-Umbach: Multi-Class Linear Feature Extraction by Nonlinear PCA. ICPR 2000: 2398-2401
39EEMarina Skurichina, Alexander Ypma, Robert P. W. Duin: The Role of Subclasses in Machine Diagnostics. ICPR 2000: 2668-2671
38EEDavid M. J. Tax, Robert P. W. Duin: Data Description in Subspaces. ICPR 2000: 2672-2675
37EEElzbieta Pekalska, Marina Skurichina, Robert P. W. Duin: Combining Fisher Linear Discriminants for Dissimilarity Representations. Multiple Classifier Systems 2000: 117-126
36EERobert P. W. Duin, David M. J. Tax: Experiments with Classifier Combining Rules. Multiple Classifier Systems 2000: 16-29
35EEMarina Skurichina, Robert P. W. Duin: Boosting in Linear Discriminant Analysis. Multiple Classifier Systems 2000: 190-199
34EEMarina Skurichina, Robert P. W. Duin: The Role of Combining Rules in Bagging and Boosting. SSPR/SPR 2000: 631-640
33EEDick 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
32EEAnil K. Jain, Robert P. W. Duin, Jianchang Mao: Statistical Pattern Recognition: A Review. IEEE Trans. Pattern Anal. Mach. Intell. 22(1): 4-37 (2000)
31EEDavid 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
30EEDavid M. J. Tax, Robert P. W. Duin: Data domain description using support vectors. ESANN 1999: 251-256
29EEDavid M. J. Tax, Alexander Ypma, Robert P. W. Duin: Pump Failure Detection Using Support Vector Data Descriptions. IDA 1999: 415-426
28EEMarina Skurichina, Robert P. W. Duin: Regularisation of Linear Classifiers by Adding Redundant Features. Pattern Anal. Appl. 2(1): 44-52 (1999)
27EEDick 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)
26EERobert P. W. Duin, Elzbieta Pekalska, Dick de Ridder: Relational discriminant analysis. Pattern Recognition Letters 20(11-13): 1175-1181 (1999)
25EEDavid M. J. Tax, Robert P. W. Duin: Support vector domain description. Pattern Recognition Letters 20(11-13): 1191-1199 (1999)
1998
24 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
23 Marina Skurichina, Robert P. W. Duin: Regularization by Adding Redundant Features. SSPR/SPR 1998: 564-572
22 David M. J. Tax, Robert P. W. Duin: Outlier Detection Using Classifier Instability. SSPR/SPR 1998: 593-601
21 Robert P. W. Duin, David M. J. Tax: Classifier Conditional Posterior Probabilities. SSPR/SPR 1998: 611-619
20EEJosef Kittler, Mohamad Hatef, Robert P. W. Duin, Jiri Matas: On Combining Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 20(3): 226-239 (1998)
19EEMarina Skurichina, Robert P. W. Duin: Bagging for linear classifiers. Pattern Recognition 31(7): 909-930 (1998)
18EESarunas 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
17EERobert P. W. Duin, Dick de Ridder: Neural network experiences between perceptrons and support vectors. BMVC 1997
16EERobert 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)
15EEAarnoud Hoekstra, Robert P. W. Duin: Investigating redundancy in feed-forward neural classifiers. Pattern Recognition Letters 18(11-13): 1293-1300 (1997)
14EEDick de Ridder, Robert P. W. Duin: Sammon's mapping using neural networks: A comparison. Pattern Recognition Letters 18(11-13): 1307-1316 (1997)
1996
13 Aarnoud Hoekstra, Servaes A. Tholen, Robert P. W. Duin: Estimating the Reliability of Neural Network Classifications. ICANN 1996: 53-58
12EERobert P. W. Duin: A note on comparing classifiers. Pattern Recognition Letters 17(5): 529-536 (1996)
1995
11 Robert P. W. Duin, Edwin Th. G. Hoek: SMD position measurement by a Kohonen network compared with image processing. CAIP 1995: 606-611
10EEPeter J. Verveer, Robert P. W. Duin: An Evaluation of Intrinsic Dimensionality Estimators. IEEE Trans. Pattern Anal. Mach. Intell. 17(1): 81-86 (1995)
1994
9EERobert P. W. Duin: Superlearning and neural network magic. Pattern Recognition Letters 15(3): 215-217 (1994)
1990
8EEPieter P. Jonker, Erwin R. Komen, Robert P. W. Duin: Architectures for Multidimensional Low- and Intermediate Level Image Processing (Invited). MVA 1990: 307-316
7EEErwin R. Komen, Wouter B. Teeuw, Robert P. W. Duin, Pieter P. Jonker: Mapping an N N Image on P Processors. MVA 1990: 327-330
6EEWouter 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
5 Etienne P. Romsom, Robert P. W. Duin: Model Based Recognition of 3D Objects From Single 2D Images. IAS 1989: 853-863
1988
4 Johannes Buurman, Robert P. W. Duin: Implementation and Use of Software Scanning on a Small CLIP4 Processor Array. Pattern Recognition 1988: 269-277
1981
3EEFrits 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)

Coauthor Index

1Adnan Amin [73]
2Volkan Atalay [76] [79]
3Ole Baunbæk-Jensen [53]
4James C. Bezdek [46]
5Manuele Bicego [127] [144] [150]
6Martijn van Breukelen [31]
7Chris E. van Haersma Buma [1]
8Horst Bunke [85] [109] [116] [137]
9Johannes Buurman [4]
10Terry Caelli (Terry M. Caelli) [73] [94]
11Aurélio C. Campilho [94]
12César Germán Castellanos-Domínguez [130]
13Germán Castellanos-Domínguez [143]
14Marco Cristani [150]
15V. C. Dinh [146]
16Sergio Escalera [134]
17Ana L. N. Fred [94]
18Bram van Ginneken [93] [95]
19Simon Günter [85]
20Reinhold Haeb-Umbach [40] [49]
21Artsiom Harol [101] [109] [110] [124] [137]
22Mohamad Hatef [20]
23Tin Kam Ho [105]
24Edwin Th. G. Hoek [11]
25Aarnoud Hoekstra [13] [15]
26Anil K. Jain [32]
27Pieter P. Jonker (Pieter Jonker) [7] [8]
28Piotr Juszczak [78] [88] [91] [103] [111] [122] [145]
29Mohamed S. Kamel (Mohamed Kamel) [73]
30Geert M. P. van Kempen [62] [70] [75]
31Sang-Woon Kim [128] [129]
32Josef Kittler [20] [31] [33] [44] [45] [59]
33Reinhard Kohlus [62] [70] [75]
34Erwin R. Komen [7] [8]
35Olga Kouropteva [77]
36Ludmila I. Kuncheva (Ludmila Kuncheva) [41] [46] [58] [65]
37Carmen Lai [66] [82] [101] [124] [140]
38Thomas Landgrebe [84] [98] [100] [104] [114] [118] [123] [135]
39Wan-Jui Lee [126] [137] [139] [149]
40Raimund Leitner [146]
41Olaf Lemmers [33] [44]
42Amir Leshem [57]
43Yunlei Li [133]
44Marco Loog [40] [49] [60] [80] [83] [93] [95] [105] [147]
45M. Lozano [107]
46Jianchang Mao [32]
47Claudio Marrocco [132]
48Jiri Matas [20]
49Co Melissant [53]
50Vittorio Murino [150]
51Mohamed E. M. Musa [76] [79]
52Michel Neuhaus [116]
53Jana Novovicová [108] [120] [140]
54Oleg Okun [77]
55Mauricio Orozco-Alzate [130] [142] [143]
56Pavel Paclík [47] [62] [66] [70] [74] [75] [82] [84] [86] [87] [90] [96] [97] [98] [100] [104] [106] [108] [112] [113] [118] [120] [140] [146]
57Elzbieta Pekalska [26] [37] [42] [47] [50] [54] [61] [63] [64] [66] [67] [68] [71] [82] [85] [89] [92] [101] [102] [106] [107] [109] [110] [111] [115] [116] [117] [121] [124] [125] [127] [137] [141] [144] [145] [150]
58Matti Pietikäinen [77]
59Filiberto Pla [107]
60Oriol Pujol [134]
61Petia Radeva (Petia Radeva Ivanova) [134]
62Sarunas Raudys [18]
63Marcel J. T. Reinders [133]
64Dick de Ridder [14] [16] [17] [24] [26] [27] [33] [44] [45] [55] [59] [71] [73] [76] [77] [79] [94] [133]
65Fabio Roli [55]
66Etienne P. Romsom [5]
67Jan L. N. Roodenburg [86]
68José Salvador Sánchez [107]
69Catherine A. Shipp [41]
70Paolo Simeone [138]
71Marina Skurichina [19] [23] [28] [34] [35] [37] [39] [52] [56] [58] [65] [67] [86] [89] [99] [113] [142]
72José Martínez Sotoca [107]
73Barbara Spillmann [109] [116]
74Henricus J. C. M. Sterenborg [86]
75David M. J. Tax [16] [21] [22] [25] [29] [30] [31] [36] [38] [48] [51] [64] [66] [72] [81] [82] [84] [92] [98] [100] [104] [111] [119] [122] [131] [134] [136] [138] [144] [145] [147]
76Wouter B. Teeuw [6] [7]
77Servaes A. Tholen [13]
78Francesco Tortorella [132] [138]
79Diana de Veld [86]
80Piet W. Verbeek [24] [27]
81Peter J. Verveer [10]
82Sergey Verzakov [126]
83Serguei Verzakov [84] [87] [90] [96] [97] [110] [112] [113] [122]
84Max A. Viergever [80]
85Lucas J. van Vliet [24]
86Frits T. Beukema toe Water [3]
87Christopher J. Whitaker [41]
88Max J. H. Witje [86]
89Alexander Ypma [29] [39] [53] [57]
90Chun-Xia Zhang [148]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)