| 2009 |
|---|
| 144 | EE | 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) |
| 143 | EE | 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 |
|---|
| 142 | EE | 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 |
| 141 | EE | Robert P. W. Duin,
Elzbieta Pekalska:
On refining dissimilarity matrices for an improved NN learning.
ICPR 2008: 1-4 |
| 140 | EE | 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 |
| 139 | EE | Wan-Jui Lee,
Robert P. W. Duin:
An Inexact Graph Comparison Approach in Joint Eigenspace.
SSPR/SPR 2008: 35-44 |
| 138 | EE | 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 |
| 137 | EE | 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 |
| 136 | EE | David M. J. Tax,
Robert P. W. Duin:
Learning Curves for the Analysis of Multiple Instance Classifiers.
SSPR/SPR 2008: 724-733 |
| 135 | EE | 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) |
| 134 | EE | 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) |
| 133 | EE | 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) |
| 132 | EE | 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) |
| 131 | EE | 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 |
|---|
| 130 | EE | Mauricio Orozco-Alzate,
Robert P. W. Duin,
César Germán Castellanos-Domínguez:
Generalizing Dissimilarity Representations Using Feature Lines.
CIARP 2007: 370-379 |
| 129 | EE | 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 |
| 128 | EE | 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 |
| 127 | EE | Manuele Bicego,
Elzbieta Pekalska,
Robert P. W. Duin:
Group-Induced Vector Spaces.
MCS 2007: 190-199 |
| 126 | EE | Wan-Jui Lee,
Sergey Verzakov,
Robert P. W. Duin:
Kernel Combination Versus Classifier Combination.
MCS 2007: 22-31 |
| 125 | EE | Robert P. W. Duin,
Elzbieta Pekalska:
The Science of Pattern Recognition. Achievements and Perspectives.
Challenges for Computational Intelligence 2007: 221-259 |
| 124 | EE | 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) |
| 123 | EE | Thomas Landgrebe,
Robert P. W. Duin:
Approximating the multiclass ROC by pairwise analysis.
Pattern Recognition Letters 28(13): 1747-1758 (2007) |
| 2006 |
|---|
| 122 | EE | Piotr Juszczak,
David M. J. Tax,
Serguei Verzakov,
Robert P. W. Duin:
Domain Based LDA and QDA.
ICPR (2) 2006: 788-791 |
| 121 | EE | Elzbieta Pekalska,
Robert P. W. Duin:
Dissimilarity-based classification for vectorial representations.
ICPR (3) 2006: 137-140 |
| 120 | EE | Pavel Paclík,
Jana Novovicová,
Robert P. W. Duin:
A Trainable Similarity Measure for Image Classification.
ICPR (3) 2006: 391-394 |
| 119 | EE | David M. J. Tax,
Robert P. W. Duin:
Linear model combining by optimizing the Area under the ROC curve.
ICPR (4) 2006: 119-122 |
| 118 | EE | Thomas 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 |
| 116 | EE | 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 |
| 115 | EE | Robert P. W. Duin,
Elzbieta Pekalska:
Structural Inference of Sensor-Based Measurements.
SSPR/SPR 2006: 41-55 |
| 114 | EE | Thomas Landgrebe,
Robert P. W. Duin:
Combining Accuracy and Prior Sensitivity for Classifier Design Under Prior Uncertainty.
SSPR/SPR 2006: 512-521 |
| 113 | EE | 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 |
| 112 | EE | Serguei Verzakov,
Pavel Paclík,
Robert P. W. Duin:
Edge Detection in Hyperspectral Imaging: Multivariate Statistical Approaches.
SSPR/SPR 2006: 551-559 |
| 111 | EE | 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 |
| 110 | EE | Artsiom Harol,
Elzbieta Pekalska,
Serguei Verzakov,
Robert P. W. Duin:
Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces.
SSPR/SPR 2006: 613-621 |
| 109 | EE | 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 |
| 108 | EE | 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) |
| 107 | EE | 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) |
| 106 | EE | Elzbieta Pekalska,
Robert P. W. Duin,
Pavel Paclík:
Prototype selection for dissimilarity-based classifiers.
Pattern Recognition 39(2): 189-208 (2006) |
| 105 | EE | 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) |
| 104 | EE | 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 |
|---|
| 103 | EE | Piotr Juszczak,
Robert P. W. Duin:
Learning from a Test Set.
CORES 2005: 203-210 |
| 102 | EE | Robert P. W. Duin,
Elzbieta Pekalska:
Open Issues in Pattern Recognition.
CORES 2005: 27-42 |
| 101 | EE | Elzbieta Pekalska,
Artsiom Harol,
Carmen Lai,
Robert P. W. Duin:
Pairwise Selection of Features and Prototypes.
CORES 2005: 271-278 |
| 100 | EE | 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 |
| 99 | EE | Marina Skurichina,
Robert P. W. Duin:
Combining Feature Subsets in Feature Selection.
Multiple Classifier Systems 2005: 165-175 |
| 98 | EE | Thomas Landgrebe,
Pavel Paclík,
David M. J. Tax,
Robert P. W. Duin:
Optimising Two-Stage Recognition Systems.
Multiple Classifier Systems 2005: 206-215 |
| 97 | EE | Serguei Verzakov,
Pavel Paclík,
Robert P. W. Duin:
The Tangent Kernel Approach to Illumination-Robust Texture Classification.
SCIA 2005: 1009-1016 |
| 96 | EE | 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 |
| 95 | EE | 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 |
|---|
| 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 |
| 93 | EE | Marco Loog,
Bram van Ginneken,
Robert P. W. Duin:
Dimensionality Reduction by Canonical Contextual Correlation Projections.
ECCV (1) 2004: 562-573 |
| 92 | EE | Robert P. W. Duin,
Elzbieta Pekalska,
David M. J. Tax:
The Characterization of Classification Problems by Classifier Disagreements.
ICPR (1) 2004: 140-143 |
| 91 | EE | Piotr Juszczak,
Robert P. W. Duin:
Selective Sampling Based on the Variation in Label Assignments.
ICPR (3) 2004: 375-378 |
| 90 | EE | 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 |
| 89 | EE | Elzbieta Pekalska,
Marina Skurichina,
Robert P. W. Duin:
Combining Dissimilarity-Based One-Class Classifiers.
Multiple Classifier Systems 2004: 122-133 |
| 88 | EE | Piotr Juszczak,
Robert P. W. Duin:
Combining One-Class Classifiers to Classify Missing Data.
Multiple Classifier Systems 2004: 92-101 |
| 87 | EE | Serguei Verzakov,
Pavel Paclík,
Robert P. W. Duin:
Feature Shaving for Spectroscopic Data.
SSPR/SPR 2004: 1026-1033 |
| 86 | EE | 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 |
| 85 | EE | Elzbieta Pekalska,
Robert P. W. Duin,
Simon Günter,
Horst Bunke:
On Not Making Dissimilarities Euclidean.
SSPR/SPR 2004: 1145-1154 |
| 84 | EE | 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 |
| 83 | EE | 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) |
| 82 | EE | 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) |
| 81 | EE | David M. J. Tax,
Robert P. W. Duin:
Support Vector Data Description.
Machine Learning 54(1): 45-66 (2004) |
| 80 | EE | Marco Loog,
Robert P. W. Duin,
Max A. Viergever:
The MDF discrimination measure: Fisher in disguise.
Neural Networks 17(4): 563-566 (2004) |
| 79 | EE | 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 |
|---|
| 78 | EE | Piotr Juszczak,
Robert P. W. Duin:
Selective Sampling Methods in One-Class Classification Problems.
ICANN 2003: 140-148 |
| 77 | EE | Dick de Ridder,
Olga Kouropteva,
Oleg Okun,
Matti Pietikäinen,
Robert P. W. Duin:
Supervised Locally Linear Embedding.
ICANN 2003: 333-341 |
| 76 | EE | 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 |
| 75 | EE | 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) |
| 74 | EE | Pavel 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 |
| 72 | EE | David M. J. Tax,
Robert P. W. Duin:
Using Two-Class Classifiers for Multiclass Classification.
ICPR (2) 2002: 124-127 |
| 71 | EE | Dick de Ridder,
Elzbieta Pekalska,
Robert P. W. Duin:
The Economics of Classification: Error vs. Complexity.
ICPR (2) 2002: 244-247 |
| 70 | EE | 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 |
| 69 | EE | Robert P. W. Duin:
The Combining Classifier: To Train or Not to Train?
ICPR (2) 2002: 765-770 |
| 68 | EE | Elzbieta Pekalska,
Robert P. W. Duin:
Prototype Selection for Finding Efficient Representations of Dissimilarity Data.
ICPR (3) 2002: 37-40 |
| 67 | EE | Elzbieta Pekalska,
Robert P. W. Duin,
Marina Skurichina:
A Discussion on the Classifier Projection Space for Classifier Combining.
Multiple Classifier Systems 2002: 137-148 |
| 66 | EE | 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 |
| 65 | EE | 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 |
| 64 | EE | Elzbieta 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 |
| 62 | EE | 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 |
| 61 | EE | Elzbieta Pekalska,
Robert P. W. Duin:
Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings.
SSPR/SPR 2002: 488-497 |
| 60 | EE | Marco Loog,
Robert P. W. Duin:
Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data.
SSPR/SPR 2002: 508-517 |
| 59 | EE | Dick de Ridder,
Robert P. W. Duin,
Josef Kittler:
Texture Description by Independent Components.
SSPR/SPR 2002: 587-596 |
| 58 | EE | 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) |
| 57 | EE | 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) |
| 56 | EE | Marina Skurichina,
Robert P. W. Duin:
Bagging, Boosting and the Random Subspace Method for Linear Classifiers.
Pattern Anal. Appl. 5(2): 121-135 (2002) |
| 55 | EE | 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) |
| 54 | EE | Elzbieta Pekalska,
Robert P. W. Duin:
Dissimilarity representations allow for building good classifiers.
Pattern Recognition Letters 23(8): 943-956 (2002) |
| 2001 |
|---|
| 53 | EE | Alexander Ypma,
Co Melissant,
Ole Baunbæk-Jensen,
Robert P. W. Duin:
Health Monitoring with Learning Methods.
ICANN 2001: 547-553 |
| 52 | EE | Marina Skurichina,
Robert P. W. Duin:
Bagging and the Random Subspace Method for Redundant Feature Spaces.
Multiple Classifier Systems 2001: 1-10 |
| 51 | EE | David M. J. Tax,
Robert P. W. Duin:
Combining One-Class Classifiers.
Multiple Classifier Systems 2001: 299-308 |
| 50 | EE | Elzbieta Pekalska,
Robert P. W. Duin:
On Combining Dissimilarity Representations.
Multiple Classifier Systems 2001: 359-368 |
| 49 | EE | 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) |
| 48 | EE | 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) |
| 47 | EE | 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) |
| 46 | EE | 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 |
|---|
| 45 | EE | Dick de Ridder,
Josef Kittler,
Robert P. W. Duin:
Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation.
BMVC 2000 |
| 44 | EE | Dick de Ridder,
Josef Kittler,
Olaf Lemmers,
Robert P. W. Duin:
The Adaptive Subspace Map for Texture Segmentation.
ICPR 2000: 1216-1220 |
| 43 | EE | Robert P. W. Duin:
Classifiers in Almost Empty Spaces.
ICPR 2000: 2001-2007 |
| 42 | EE | Elzbieta Pekalska,
Robert P. W. Duin:
Classifiers for Dissimilarity-Based Pattern Recognition.
ICPR 2000: 2012-2016 |
| 41 | EE | Ludmila I. Kuncheva,
Christopher J. Whitaker,
Catherine A. Shipp,
Robert P. W. Duin:
Is Independence Good For Combining Classifiers?
ICPR 2000: 2168-2171 |
| 40 | EE | Robert P. W. Duin,
Marco Loog,
Reinhold Haeb-Umbach:
Multi-Class Linear Feature Extraction by Nonlinear PCA.
ICPR 2000: 2398-2401 |
| 39 | EE | Marina Skurichina,
Alexander Ypma,
Robert P. W. Duin:
The Role of Subclasses in Machine Diagnostics.
ICPR 2000: 2668-2671 |
| 38 | EE | David M. J. Tax,
Robert P. W. Duin:
Data Description in Subspaces.
ICPR 2000: 2672-2675 |
| 37 | EE | Elzbieta Pekalska,
Marina Skurichina,
Robert P. W. Duin:
Combining Fisher Linear Discriminants for Dissimilarity Representations.
Multiple Classifier Systems 2000: 117-126 |
| 36 | EE | Robert P. W. Duin,
David M. J. Tax:
Experiments with Classifier Combining Rules.
Multiple Classifier Systems 2000: 16-29 |
| 35 | EE | Marina Skurichina,
Robert P. W. Duin:
Boosting in Linear Discriminant Analysis.
Multiple Classifier Systems 2000: 190-199 |
| 34 | EE | Marina Skurichina,
Robert P. W. Duin:
The Role of Combining Rules in Bagging and Boosting.
SSPR/SPR 2000: 631-640 |
| 33 | EE | 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 |
| 32 | EE | 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) |
| 31 | EE | 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 |
|---|
| 30 | EE | David M. J. Tax,
Robert P. W. Duin:
Data domain description using support vectors.
ESANN 1999: 251-256 |
| 29 | EE | David M. J. Tax,
Alexander Ypma,
Robert P. W. Duin:
Pump Failure Detection Using Support Vector Data Descriptions.
IDA 1999: 415-426 |
| 28 | EE | Marina Skurichina,
Robert P. W. Duin:
Regularisation of Linear Classifiers by Adding Redundant Features.
Pattern Anal. Appl. 2(1): 44-52 (1999) |
| 27 | EE | 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) |
| 26 | EE | Robert P. W. Duin,
Elzbieta Pekalska,
Dick de Ridder:
Relational discriminant analysis.
Pattern Recognition Letters 20(11-13): 1175-1181 (1999) |
| 25 | EE | David 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 |
| 20 | EE | Josef Kittler,
Mohamad Hatef,
Robert P. W. Duin,
Jiri Matas:
On Combining Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell. 20(3): 226-239 (1998) |
| 19 | EE | Marina Skurichina,
Robert P. W. Duin:
Bagging for linear classifiers.
Pattern Recognition 31(7): 909-930 (1998) |
| 18 | EE | 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 |
|---|
| 17 | EE | Robert P. W. Duin,
Dick de Ridder:
Neural network experiences between perceptrons and support vectors.
BMVC 1997 |
| 16 | EE | 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) |
| 15 | EE | Aarnoud Hoekstra,
Robert P. W. Duin:
Investigating redundancy in feed-forward neural classifiers.
Pattern Recognition Letters 18(11-13): 1293-1300 (1997) |
| 14 | EE | 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 |
|---|
| 13 | | Aarnoud Hoekstra,
Servaes A. Tholen,
Robert P. W. Duin:
Estimating the Reliability of Neural Network Classifications.
ICANN 1996: 53-58 |
| 12 | EE | Robert 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 |
| 10 | EE | 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 |
|---|
| 9 | EE | Robert P. W. Duin:
Superlearning and neural network magic.
Pattern Recognition Letters 15(3): 215-217 (1994) |
| 1990 |
|---|
| 8 | EE | Pieter P. Jonker,
Erwin R. Komen,
Robert P. W. Duin:
Architectures for Multidimensional Low- and Intermediate Level Image Processing (Invited).
MVA 1990: 307-316 |
| 7 | EE | 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 |
| 6 | EE | 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 |
|---|
| 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 |
|---|
| 3 | EE | 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) |
