Computation of Concave Piecewise Linear Discriminant Functions Using Chebyshev Polynomials. - Chris E. van Haersma Buma; Robert P. W. Duin (IEEE Trans. Computers, 1976)

On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions. - Robert P. W. Duin (IEEE Trans. Computers, 1976)

Comments on "Independence, Measurement Complexity, and Classification Performance". - Robert P. W. Duin (IEEE Trans. Syst. Man Cybern., 1977)

The mean recognition performance for independent distributions (Corresp.). - Robert P. W. Duin (IEEE Trans. Inf. Theory, 1978)

Correction to 'The Mean Recognition performance for Independent Distribution'. - Robert P. W. Duin (IEEE Trans. Inf. Theory, 1978)

On the evaluation of independent binary features (Corresp.). - Robert P. W. Duin; Chris E. van Haersma Buma; L. Roosma (IEEE Trans. Inf. Theory, 1978)

Dealing with a priori knowledge by fuzzy labels. - Frits T. Beukema toe Water; Robert P. W. Duin (Pattern Recognit., 1981)

The use of continuous variables for labeling objects. - Robert P. W. Duin (Pattern Recognit. Lett., 1982)

Spirograph Theory: A Framework for Calculations on Digitized Straight Lines. - Leo Dorst; Robert P. W. Duin (IEEE Trans. Pattern Anal. Mach. Intell., 1984)

Fast percentile filtering. - Robert P. W. Duin; H. Haringa; R. Zeelen (Pattern Recognit. Lett., 1986)

Implementation and Use of Software Scanning on a Small CLIP4 Processor Array. - Johannes Buurman; Robert P. W. Duin (Pattern Recognition, 1988)

Model Based Recognition of 3D Objects From Single 2D Images. - Etienne P. Romsom; Robert P. W. Duin (IAS, 1989)

Architectures for Multidimensional Low- and Intermediate Level Image Processing (Invited). - Pieter P. Jonker; Erwin R. Komen; Robert P. W. Duin (MVA, 1990)

Mapping an N N Image on P Processors. - Erwin R. Komen; Wouter B. Teeuw; Robert P. W. Duin; Pieter P. Jonker (MVA, 1990)

An algorithm for benchmarking an SIMD pyramid with the Abingdon Cross. - Wouter B. Teeuw; Robert P. W. Duin (Pattern Recognit. Lett., 1990)

Feedforward neural networks with random weights. - Wouter F. Schmidt; Martin A. Kraaijveld; Robert P. W. Duin (ICPR (2), 1992)

Evaluation method for an automatic map interpretation system for cadastral maps. - Rik D. T. Janssen; Robert P. W. Duin; Albert M. Vossepoel (ICDAR, 1993)

On the speed of training networks with correlated features. - Robert R. N. Bakker; Martin A. Kraaijveld; Robert P. W. Duin; Wouter F. Schmidt (ICNN, 1993)

Initializations, back-propagation and generalization of feed-forward classifiers. - Wouter F. Schmidt; Sarunas Raudys; Martin A. Kraaijveld; Marina Skurikhina; Robert P. W. Duin (ICNN, 1993)

The effective capacity of multilayer feedforward network classifiers. - Martin A. Kraaijveld; Robert P. W. Duin (ICPR (2), 1994)

Superlearning and neural network magic. - Robert P. W. Duin (Pattern Recognit. Lett., 1994)

SMD position measurement by a Kohonen network compared with image processing. - Robert P. W. Duin; Edwin Th. G. Hoek (CAIP, 1995)

An Evaluation of Intrinsic Dimensionality Estimators. - Peter J. Verveer; Robert P. W. Duin (IEEE Trans. Pattern Anal. Mach. Intell., 1995)

Estimating the Reliability of Neural Network Classifications. - Aarnoud Hoekstra; Servaes A. Tholen; Robert P. W. Duin (ICANN, 1996)

On the nonlinearity of pattern classifiers. - Aarnoud Hoekstra; Robert P. W. Duin (ICPR, 1996)

Combining classifiers. - Josef Kittler; Mohamad Hatef; Robert P. W. Duin (ICPR, 1996)

Stabilizing classifiers for very small sample sizes. - Marina Skurichina; Robert P. W. Duin (ICPR, 1996)

A note on comparing classifiers. - Robert P. W. Duin (Pattern Recognit. Lett., 1996)

Neural network experiences between perceptrons and support vectors. - Robert P. W. Duin; Dick de Ridder (BMVC, 1997)

Novelty Detection Using Self-Organizing Maps. - Alexander Ypma; Robert P. W. Duin (ICONIP (2), 1997)

Experiments with a featureless approach to pattern recognition. - Robert P. W. Duin; Dick de Ridder; David M. J. Tax (Pattern Recognit. Lett., 1997)

Investigating redundancy in feed-forward neural classifiers. - Aarnoud Hoekstra; Robert P. W. Duin (Pattern Recognit. Lett., 1997)

Sammon's mapping using neural networks: A comparison. - Dick de Ridder; Robert P. W. Duin (Pattern Recognit. Lett., 1997)

On the Application of Neural Networks to Non-Linear Image Processing Tasks. - Dick de Ridder; Robert P. W. Duin; Piet W. Verbeek; Lucas J. van Vliet (ICONIP, 1998)

Neural network initialization by combined classifiers. - Martijn van Breukelen; Robert P. W. Duin (ICPR, 1998)

Relational discriminant analysis and its large sample size problem. - Robert P. W. Duin (ICPR, 1998)

Classifier Conditional Posterior Probabilities. - Robert P. W. Duin; David M. J. Tax (SSPR/SPR, 1998)

Regularization by Adding Redundant Features. - Marina Skurichina; Robert P. W. Duin (SSPR/SPR, 1998)

Outlier Detection Using Classifier Instability. - David M. J. Tax; Robert P. W. Duin (SSPR/SPR, 1998)

Handwritten digit recognition by combined classifiers. - Martijn van Breukelen; Robert P. W. Duin; David M. J. Tax; J. E. den Hartog (Kybernetika, 1998)

Featureless pattern classification. - Robert P. W. Duin; Dick de Ridder; David M. J. Tax (Kybernetika, 1998)

On Combining Classifiers. - Josef Kittler; Mohamad Hatef; Robert P. W. Duin; Jiri Matas (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Bagging for linear classifiers. - Marina Skurichina; Robert P. W. Duin (Pattern Recognit., 1998)

Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix. - Sarunas Raudys; Robert P. W. Duin (Pattern Recognit. Lett., 1998)

Data domain description using support vectors. - David M. J. Tax; Robert P. W. Duin (ESANN, 1999)

Pump Failure Detection Using Support Vector Data Descriptions. - David M. J. Tax; Alexander Ypma; Robert P. W. Duin (IDA, 1999)

The Applicability of Neural Networks to Non-linear Image Processing. - Dick de Ridder; Robert P. W. Duin; Piet W. Verbeek (Pattern Anal. Appl., 1999)

Regularisation of Linear Classifiers by Adding Redundant Features. - Marina Skurichina; Robert P. W. Duin (Pattern Anal. Appl., 1999)

Relational discriminant analysis. - Robert P. W. Duin; Elzbieta Pekalska; Dick de Ridder (Pattern Recognit. Lett., 1999)

Support vector domain description. - David M. J. Tax; Robert P. W. Duin (Pattern Recognit. Lett., 1999)

Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation. - Dick de Ridder; Josef Kittler; Robert P. W. Duin (BMVC, 2000)

Classifiers in Almost Empty Spaces. - Robert P. W. Duin (ICPR, 2000)

Multi-Class Linear Feature Extraction by Nonlinear PCA. - Robert P. W. Duin; Marco Loog; Reinhold Haeb-Umbach (ICPR, 2000)

Is Independence Good For Combining Classifiers? - Ludmila I. Kuncheva; Christopher J. Whitaker; Catherine A. Shipp; Robert P. W. Duin (ICPR, 2000)

Classifiers for Dissimilarity-Based Pattern Recognition. - Elzbieta Pekalska; Robert P. W. Duin (ICPR, 2000)

The Adaptive Subspace Map for Texture Segmentation. - Dick de Ridder; Josef Kittler; Olaf Lemmers; Robert P. W. Duin (ICPR, 2000)

The Role of Subclasses in Machine Diagnostics. - Marina Skurichina; Alexander Ypma; Robert P. W. Duin (ICPR, 2000)

Data Description in Subspaces. - David M. J. Tax; Robert P. W. Duin (ICPR, 2000)

Experiments with Classifier Combining Rules. - Robert P. W. Duin; David M. J. Tax (Multiple Classifier Systems, 2000)

Combining Fisher Linear Discriminants for Dissimilarity Representations. - Elzbieta Pekalska; Marina Skurichina; Robert P. W. Duin (Multiple Classifier Systems, 2000)

Boosting in Linear Discriminant Analysis. - Marina Skurichina; Robert P. W. Duin (Multiple Classifier Systems, 2000)

The Adaptive Subspace Map for Image Description and Image Database Retrieval. - Dick de Ridder; Olaf Lemmers; Robert P. W. Duin; Josef Kittler (SSPR/SPR, 2000)

The Role of Combining Rules in Bagging and Boosting. - Marina Skurichina; Robert P. W. Duin (SSPR/SPR, 2000)

Statistical Pattern Recognition: A Review. - Anil K. Jain 001; Robert P. W. Duin; Jianchang Mao (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Combining multiple classifiers by averaging or by multiplying? - David M. J. Tax; Martijn van Breukelen; Robert P. W. Duin; Josef Kittler (Pattern Recognit., 2000)

k-nearest neighbors directed noise injection in multilayer perceptron training. - Marina Skurichina; Sarunas Raudys; Robert P. W. Duin (IEEE Trans. Neural Networks Learn. Syst., 2000)

Health Monitoring with Learning Methods. - Alexander Ypma; Co Melissant; Ole Baunbæk-Jensen; Robert P. W. Duin (ICANN, 2001)

On Combining Dissimilarity Representations. - Elzbieta Pekalska; Robert P. W. Duin (Multiple Classifier Systems, 2001)

Bagging and the Random Subspace Method for Redundant Feature Spaces. - Marina Skurichina; Robert P. W. Duin (Multiple Classifier Systems, 2001)

Combining One-Class Classifiers. - David M. J. Tax; Robert P. W. Duin (Multiple Classifier Systems, 2001)

A Generalized Kernel Approach to Dissimilarity-based Classification. - Elzbieta Pekalska; Pavel Paclík; Robert P. W. Duin (J. Mach. Learn. Res., 2001)

Uniform Object Generation for Optimizing One-class Classifiers. - David M. J. Tax; Robert P. W. Duin (J. Mach. Learn. Res., 2001)

Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria. - Marco Loog; Robert P. W. Duin; Reinhold Haeb-Umbach (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Decision templates for multiple classifier fusion: an experimental comparison. - Ludmila Kuncheva; James C. Bezdek; Robert P. W. Duin (Pattern Recognit., 2001)

The Combining Classifier: To Train or Not to Train? - Robert P. W. Duin (ICPR (2), 2002)

Supervised Segmentation of Textures in Backscatter Images. - Pavel Paclík; Robert P. W. Duin; Geert M. P. van Kempen; Reinhard Kohlus (ICPR (2), 2002)

Prototype Selection for Finding Efficient Representations of Dissimilarity Data. - Elzbieta Pekalska; Robert P. W. Duin (ICPR (3), 2002)

The Economics of Classification: Error vs. Complexity. - Dick de Ridder; Elzbieta Pekalska; Robert P. W. Duin (ICPR (2), 2002)

Using Two-Class Classifiers for Multiclass Classification. - David M. J. Tax; Robert P. W. Duin (ICPR (2), 2002)

On Combining One-Class Classifiers for Image Database Retrieval. - Carmen Lai; David M. J. Tax; Robert P. W. Duin; Elzbieta Pekalska; Pavel Paclík (Multiple Classifier Systems, 2002)

A Discussion on the Classifier Projection Space for Classifier Combining. - Elzbieta Pekalska; Robert P. W. Duin; Marina Skurichina (Multiple Classifier Systems, 2002)

Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy. - Marina Skurichina; Ludmila Kuncheva; Robert P. W. Duin (Multiple Classifier Systems, 2002)

One-Class LP Classifiers for Dissimilarity Representations. - Elzbieta Pekalska; David M. J. Tax; Robert P. W. Duin (NIPS, 2002)

Possibilities of Zero-Error Recognition by Dissimilarity Representations. - Robert P. W. Duin; Elzbieta Pekalska (PRIS, 2002)

Non-iterative Heteroscedastic Linear Dimension Reduction for Two-Class Data. - Marco Loog; Robert P. W. Duin (SSPR/SPR, 2002)

On Feature Selection with Measurement Cost and Grouped Features. - Pavel Paclík; Robert P. W. Duin; Geert M. P. van Kempen; Reinhard Kohlus (SSPR/SPR, 2002)

Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings. - Elzbieta Pekalska; Robert P. W. Duin (SSPR/SPR, 2002)

Texture Description by Independent Components. - Dick de Ridder; Robert P. W. Duin; Josef Kittler (SSPR/SPR, 2002)

Blind separation of rotating machine sources: bilinear forms and convolutive mixtures - Alexander Ypma; Amir Leshem; Robert P. W. Duin (Neurocomputing, 2002)

An experimental study on diversity for bagging and boosting with linear classifiers. - Ludmila Kuncheva; Marina Skurichina; Robert P. W. Duin (Inf. Fusion, 2002)

Bagging, Boosting and the Random Subspace Method for Linear Classifiers. - Marina Skurichina; Robert P. W. Duin (Pattern Anal. Appl., 2002)

A note on core research issues for statistical pattern recognition. - Robert P. W. Duin; Fabio Roli; Dick de Ridder (Pattern Recognit. Lett., 2002)

Dissimilarity representations allow for building good classifiers. - Elzbieta Pekalska; Robert P. W. Duin (Pattern Recognit. Lett., 2002)

Selective Sampling Methods in One-Class Classification Problems. - Piotr Juszczak; Robert P. W. Duin (ICANN, 2003)

Supervised Locally Linear Embedding. - Dick de Ridder; Olga Kouropteva; Oleg Okun; Matti Pietikäinen; Robert P. W. Duin (ICANN, 2003)

Texture Segmentation Using the Mixtures of Principal Component Analyzers. - Mohamed E. M. Musa; Robert P. W. Duin; Dick de Ridder; Volkan Atalay (ISCIS, 2003)

Segmentation of multi-spectral images using the combined classifier approach. - Pavel Paclík; Robert P. W. Duin; Geert M. P. van Kempen; Reinhard Kohlus (Image Vis. Comput., 2003)

Limits on the majority vote accuracy in classifier fusion. - Ludmila I. Kuncheva; Christopher J. Whitaker; Catherine A. Shipp; Robert P. W. Duin (Pattern Anal. Appl., 2003)

Dissimilarity-based classification of spectra: computational issues. - Pavel Paclík; Robert P. W. Duin (Real Time Imaging, 2003)

Dimensionality Reduction by Canonical Contextual Correlation Projections. - Marco Loog; Bram van Ginneken; Robert P. W. Duin (ECCV (1), 2004)

The Characterization of Classification Problems by Classifier Disagreements. - Robert P. W. Duin; Elzbieta Pekalska; David M. J. Tax (ICPR (1), 2004)

Selective Sampling Based on the Variation in Label Assignments. - Piotr Juszczak; Robert P. W. Duin (ICPR (3), 2004)

Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data. - Pavel Paclík; Serguei Verzakov; Robert P. W. Duin (ICPR (4), 2004)

Combining One-Class Classifiers to Classify Missing Data. - Piotr Juszczak; Robert P. W. Duin (Multiple Classifier Systems, 2004)

Combining Dissimilarity-Based One-Class Classifiers. - Elzbieta Pekalska; Marina Skurichina; Robert P. W. Duin (Multiple Classifier Systems, 2004)

Cost-Based Classifier Evaluation for Imbalanced Problems. - Thomas C. W. Landgrebe; Pavel Paclík; David M. J. Tax; Serguei Verzakov; Robert P. W. Duin (SSPR/SPR, 2004)

On Not Making Dissimilarities Euclidean. - Elzbieta Pekalska; Robert P. W. Duin; Simon Günter; Horst Bunke (SSPR/SPR, 2004)

Selection/Extraction of Spectral Regions for Autofluorescence Spectra Measured in the Oral Cavity. - Marina Skurichina; Pavel Paclík; Robert P. W. Duin; Diana de Veld; Henricus J. C. M. Sterenborg; Max J. H. Witje; Jan L. N. Roodenburg (SSPR/SPR, 2004)

Feature Shaving for Spectroscopic Data. - Serguei Verzakov; Pavel Paclík; Robert P. W. Duin (SSPR/SPR, 2004)

A Study On Combining Image Representations For Image Classification And Retrieval. - Carmen Lai; David M. J. Tax; Robert P. W. Duin; Elzbieta Pekalska; Pavel Paclík (Int. J. Pattern Recognit. Artif. Intell., 2004)

Support Vector Data Description. - David M. J. Tax; Robert P. W. Duin (Mach. Learn., 2004)

The MDF discrimination measure: Fisher in disguise. - Marco Loog; Robert P. W. Duin; Max A. Viergever (Neural Networks, 2004)

Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion. - Marco Loog; Robert P. W. Duin (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Almost autonomous training of mixtures of principal component analyzers. - Mohamed E. M. Musa; Dick de Ridder; Robert P. W. Duin; Volkan Atalay (Pattern Recognit. Lett., 2004)

Open Issues in Pattern Recognition. - Robert P. W. Duin; Elzbieta Pekalska (CORES, 2005)

Learning from a Test Set. - Piotr Juszczak; Robert P. W. Duin (CORES, 2005)

Pairwise Selection of Features and Prototypes. - Elzbieta Pekalska; Artsiom Harol; Carmen Lai; Robert P. W. Duin (CORES, 2005)

Optimising Two-Stage Recognition Systems. - Thomas C. W. Landgrebe; Pavel Paclík; David M. J. Tax; Robert P. W. Duin (Multiple Classifier Systems, 2005)

On Deriving the Second-Stage Training Set for Trainable Combiners. - Pavel Paclík; Thomas C. W. Landgrebe; David M. J. Tax; Robert P. W. Duin (Multiple Classifier Systems, 2005)

Combining Feature Subsets in Feature Selection. - Marina Skurichina; Robert P. W. Duin (Multiple Classifier Systems, 2005)

Improving the Maximum-Likelihood Co-occurrence Classifier: A Study on Classification of Inhomogeneous Rock Images. - Pavel Paclík; Serguei Verzakov; Robert P. W. Duin (SCIA, 2005)

The Tangent Kernel Approach to Illumination-Robust Texture Classification. - Serguei Verzakov; Pavel Paclík; Robert P. W. Duin (SCIA, 2005)

Dimensionality reduction of image features using the canonical contextual correlation projection. - Marco Loog; Bram van Ginneken; Robert P. W. Duin (Pattern Recognit., 2005)

The Dissimilarity Representation for Pattern Recognition - Foundations and Applications - Elzbieta Pekalska; Robert P. W. Duin (WorldScientific, 2005)

Domain Based LDA and QDA. - Piotr Juszczak; David M. J. Tax; Serguei Verzakov; Robert P. W. Duin (ICPR (2), 2006)

Precision-recall operating characteristic (P-ROC) curves in imprecise environments. - Thomas C. W. Landgrebe; Pavel Paclík; Robert P. W. Duin (ICPR (4), 2006)

A Trainable Similarity Measure for Image Classification. - Pavel Paclík; Jana Novovicová; Robert P. W. Duin (ICPR (3), 2006)

Dissimilarity-based classification for vectorial representations. - Elzbieta Pekalska; Robert P. W. Duin (ICPR (3), 2006)

Linear model combining by optimizing the Area under the ROC curve. - David M. J. Tax; Robert P. W. Duin (ICPR (4), 2006)

Learning with General Proximity Measures. - Elzbieta Pekalska; Robert P. W. Duin (PRIS, 2006)

Structural Inference of Sensor-Based Measurements. - Robert P. W. Duin; Elzbieta Pekalska (SSPR/SPR, 2006)

Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces. - Artsiom Harol; Elzbieta Pekalska; Serguei Verzakov; Robert P. W. Duin (SSPR/SPR, 2006)

Combining Accuracy and Prior Sensitivity for Classifier Design Under Prior Uncertainty. - Thomas C. W. Landgrebe; Robert P. W. Duin (SSPR/SPR, 2006)

Non-Euclidean or Non-metric Measures Can Be Informative. - Elzbieta Pekalska; Artsiom Harol; Robert P. W. Duin; Barbara Spillmann; Horst Bunke (SSPR/SPR, 2006)

Effectiveness of Spectral Band Selection/Extraction Techniques for Spectral Data. - Marina Skurichina; Serguei Verzakov; Pavel Paclík; Robert P. W. Duin (SSPR/SPR, 2006)

Transforming Strings to Vector Spaces Using Prototype Selection. - Barbara Spillmann; Michel Neuhaus; Horst Bunke; Elzbieta Pekalska; Robert P. W. Duin (SSPR/SPR, 2006)

Outlier Detection Using Ball Descriptions with Adjustable Metric. - David M. J. Tax; Piotr Juszczak; Elzbieta Pekalska; Robert P. W. Duin (SSPR/SPR, 2006)

Edge Detection in Hyperspectral Imaging: Multivariate Statistical Approaches. - Serguei Verzakov; Pavel Paclík; Robert P. W. Duin (SSPR/SPR, 2006)

A study on design of object sorting algorithms in the industrial application using hyperspectral imaging. - Pavel Paclík; Raimund Leitner; Robert P. W. Duin (J. Real Time Image Process., 2006)

Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces. - M. Lozano; José Martínez Sotoca; José Salvador Sánchez 001; Filiberto Pla; Elzbieta Pekalska; Robert P. W. Duin (Pattern Recognit., 2006)

Prototype selection for dissimilarity-based classifiers. - Elzbieta Pekalska; Robert P. W. Duin; Pavel Paclík (Pattern Recognit., 2006)

Recent submissions in linear dimensionality reduction and face recognition. - Robert P. W. Duin; Marco Loog; Tin Kam Ho (Pattern Recognit. Lett., 2006)

The interaction between classification and reject performance for distance-based reject-option classifiers. - Thomas C. W. Landgrebe; David M. J. Tax; Pavel Paclík; Robert P. W. Duin (Pattern Recognit. Lett., 2006)

Building Road-Sign Classifiers Using a Trainable Similarity Measure. - Pavel Paclík; Jana Novovicová; Robert P. W. Duin (IEEE Trans. Intell. Transp. Syst., 2006)

On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition. - Sang-Woon Kim; Robert P. W. Duin (Canadian AI, 2007)

On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers for Appearance-Based Face Recognition. - Sang-Woon Kim; Robert P. W. Duin (CIARP, 2007)

Generalizing Dissimilarity Representations Using Feature Lines. - Mauricio Orozco-Alzate; Robert P. W. Duin; César Germán Castellanos-Domínguez (CIARP, 2007)

Group-Induced Vector Spaces. - Manuele Bicego; Elzbieta Pekalska; Robert P. W. Duin (MCS, 2007)

Kernel Combination Versus Classifier Combination. - Wan-Jui Lee; Sergey Verzakov; Robert P. W. Duin (MCS, 2007)

Pairwise feature evaluation for constructing reduced representations. - Artsiom Harol; Carmen Lai; Elzbieta Pekalska; Robert P. W. Duin (Pattern Anal. Appl., 2007)

Approximating the multiclass ROC by pairwise analysis. - Thomas C. W. Landgrebe; Robert P. W. Duin (Pattern Recognit. Lett., 2007)

The Science of Pattern Recognition. Achievements and Perspectives. - Robert P. W. Duin; Elzbieta Pekalska (Challenges for Computational Intelligence, 2007)

Spectral Characterization of Volcanic Earthquakes at Nevado del Ruiz Volcano Using Spectral Band Selection/Extraction Techniques. - Mauricio Orozco-Alzate; Marina Skurichina; Robert P. W. Duin (CIARP, 2008)

On refining dissimilarity matrices for an improved NN learning. - Robert P. W. Duin; Elzbieta Pekalska (ICPR, 2008)

Variance estimation for two-class and multi-class ROC analysis using operating point averaging. - Pavel Paclík; Carmen Lai; Jana Novovicová; Robert P. W. Duin (ICPR, 2008)

On Euclidean Corrections for Non-Euclidean Dissimilarities. - Robert P. W. Duin; Elzbieta Pekalska; Artsiom Harol; Wan-Jui Lee; Horst Bunke (SSPR/SPR, 2008)

An Inexact Graph Comparison Approach in Joint Eigenspace. - Wan-Jui Lee; Robert P. W. Duin (SSPR/SPR, 2008)

A Fast Approach to Improve Classification Performance of ECOC Classification Systems. - Paolo Simeone; David M. J. Tax; Robert P. W. Duin; Francesco Tortorella (SSPR/SPR, 2008)

Learning Curves for the Analysis of Multiple Instance Classifiers. - David M. J. Tax; Robert P. W. Duin (SSPR/SPR, 2008)

Subclass Problem-Dependent Design for Error-Correcting Output Codes. - Sergio Escalera; David M. J. Tax; Oriol Pujol; Petia Radeva; Robert P. W. Duin (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis. - Thomas C. W. Landgrebe; Robert P. W. Duin (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Integration of prior knowledge of measurement noise in kernel density classification. - Yunlei Li; Dick de Ridder; Robert P. W. Duin; Marcel J. T. Reinders (Pattern Recognit., 2008)

Maximizing the area under the ROC curve by pairwise feature combination. - Claudio Marrocco; Robert P. W. Duin; Francesco Tortorella (Pattern Recognit., 2008)

Growing a multi-class classifier with a reject option. - David M. J. Tax; Robert P. W. Duin (Pattern Recognit. Lett., 2008)

Beyond Traditional Kernels: Classification in Two Dissimilarity-Based Representation Spaces. - Elzbieta Pekalska; Robert P. W. Duin (IEEE Trans. Syst. Man Cybern. Part C, 2008)

A Combine-Correct-Combine Scheme for Optimizing Dissimilarity-Based Classifiers. - Sang-Woon Kim; Robert P. W. Duin (CIARP, 2009)

A Study on Representations for Face Recognition from Thermal Images. - Yenisel Plasencia; Edel B. García Reyes; Robert P. W. Duin; Heydi Mendez Vazquez; César San Martín; Claudio Soto (CIARP, 2009)

The Representation of Chemical Spectral Data for Classification. - Diana Porro; Robert P. W. Duin; Isneri Talavera-Bustamante; Noslén Hernández-González (CIARP, 2009)

Clustering-Based Construction of Hidden Markov Models for Generative Kernels. - Manuele Bicego; Marco Cristani; Vittorio Murino; Elzbieta Pekalska; Robert P. W. Duin (EMMCVPR, 2009)

A Labelled Graph Based Multiple Classifier System. - Wan-Jui Lee; Robert P. W. Duin (MCS, 2009)

Optimal Mean-Precision Classifier. - David M. J. Tax; Marco Loog; Robert P. W. Duin (MCS, 2009)

An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets. - Chunxia Zhang 002; Robert P. W. Duin (MCS, 2009)

Statistical Analysis of Gait Data to Assist Clinical Decision Making. - Nigar Sen Köktas; Robert P. W. Duin (MCBR-CDS, 2009)

A Clustering Based Method for Edge Detection in Hyperspectral Images. - Viet Cuong Dinh; Raimund Leitner; Pavel Paclík; Robert P. W. Duin (SCIA, 2009)

Minimum spanning tree based one-class classifier. - Piotr Juszczak; David M. J. Tax; Elzbieta Pekalska; Robert P. W. Duin (Neurocomputing, 2009)

Component-based discriminative classification for hidden Markov models. - Manuele Bicego; Elzbieta Pekalska; David M. J. Tax; Robert P. W. Duin (Pattern Recognit., 2009)

A generalization of dissimilarity representations using feature lines and feature planes. - Mauricio Orozco-Alzate; Robert P. W. Duin; Germán Castellanos-Domínguez (Pattern Recognit. Lett., 2009)

Dimensionality Reduction of Hyperspectral Data via Spectral Feature Extraction. - Barat Mojaradi; Hamid Abrishami Moghaddam; Mohammad Javad Valadan Zoej; Robert P. W. Duin (IEEE Trans. Geosci. Remote. Sens., 2009)

On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure. - Sang-Woon Kim; Robert P. W. Duin (CIARP, 2010)

An experimental study on combining Euclidean distances. - Wan-Jui Lee; Robert P. W. Duin; Alessandro Ibba; Marco Loog (CIP, 2010)

Dissimilarity-based classification of data with missing attributes. - Mónica Millán-Giraldo; Robert P. W. Duin; José Salvador Sánchez 001 (CIP, 2010)

Spherical embeddings for non-Euclidean dissimilarities. - Richard C. Wilson 001; Edwin R. Hancock; Elzbieta Pekalska; Robert P. W. Duin (CVPR, 2010)

Pattern Recognition as a Human Centered non-Euclidean Problem. - Robert P. W. Duin (ICEIS (1), 2010)

Non-Euclidean Problems in Pattern Recognition Related to Human Expert Knowledge. - Robert P. W. Duin (ICEIS, 2010)

Prototype Selection for Dissimilarity Representation by a Genetic Algorithm. - Yenisel Plasencia Calana; Edel B. García Reyes; Mauricio Orozco-Alzate; Robert P. W. Duin (ICPR, 2010)

Feature-Based Dissimilarity Space Classification. - Robert P. W. Duin; Marco Loog; Elzbieta Pekalska; David M. J. Tax (ICPR Contests, 2010)

Classification of Volcano Events Observed by Multiple Seismic Stations. - Robert P. W. Duin; Mauricio Orozco-Alzate; John Makario Londoño-Bonilla (ICPR, 2010)

Random Subspace Method in Text Categorization. - Mehrdad J. Gangeh; Mohamed S. Kamel; Robert P. W. Duin (ICPR, 2010)

A Study on Combining Sets of Differently Measured Dissimilarities. - Alessandro Ibba; Robert P. W. Duin; Wan-Jui Lee (ICPR, 2010)

ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers. - Pavel Paclík; Carmen Lai; Thomas C. W. Landgrebe; Robert P. W. Duin (ICPR, 2010)

Classifying Three-way Seismic Volcanic Data by Dissimilarity Representation. - Diana Porro-Muñoz; Robert P. W. Duin; Mauricio Orozco-Alzate; Isneri Talavera-Bustamante; John Makario Londoño-Bonilla (ICPR, 2010)

Early diagnosis of dementia based on intersubject whole-brain dissimilarities. - Stefan Klein 001; 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 (ISBI, 2010)

Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems. - Wan-Jui Lee; Robert P. W. Duin; Horst Bunke (MCS, 2010)

Image Dissimilarity-Based Quantification of Lung Disease from CT. - Lauge Sørensen; Marco Loog; Pechin Lo; Haseem Ashraf; Asger Dirksen; Robert P. W. Duin; Marleen de Bruijne (MICCAI (1), 2010)

Non-Euclidean Dissimilarities: Causes and Informativeness. - Robert P. W. Duin; Elzbieta Pekalska (SSPR/SPR, 2010)

An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces. - Sang-Woon Kim; Robert P. W. Duin (SSPR/SPR, 2010)

The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure. - Diana Porro-Muñoz; Robert P. W. Duin; Mauricio Orozco-Alzate; Isneri Talavera-Bustamante; John Makario Londoño-Bonilla (SSPR/SPR, 2010)

Dissimilarity-Based Multiple Instance Learning. - Lauge Sørensen; Marco Loog; David M. J. Tax; Wan-Jui Lee; Marleen de Bruijne; Robert P. W. Duin (SSPR/SPR, 2010)

Award winning papers from the 19th International Conference on Pattern Recognition (ICPR). - Robert P. W. Duin; Denis Laurendeau; Brian C. Lovell (Pattern Recognit. Lett., 2010)

A multi-classifier for grading knee osteoarthritis using gait analysis. - Nigar Sen Köktas; Nese Yalabik; Günes Yavuzer; Robert P. W. Duin (Pattern Recognit. Lett., 2010)

The Dissimilarity Representation for Structural Pattern Recognition. - Robert P. W. Duin; Elzbieta Pekalska (CIARP, 2011)

Dissimilarity-Based Classifications in Eigenspaces. - Sang-Woon Kim; Robert P. W. Duin (CIARP, 2011)

Generalized Augmentation of Multiple Kernels. - Wan-Jui Lee; Robert P. W. Duin; Marco Loog (MCS, 2011)

A Study on the Influence of Shape in Classifying Small Spectral Data Sets. - Diana Porro-Muñoz; Robert P. W. Duin; Isneri Talavera-Bustamante; Mauricio Orozco-Alzate (SIMBAD, 2011)

Bag Dissimilarities for Multiple Instance Learning. - David M. J. Tax; Marco Loog; Robert P. W. Duin; Veronika Cheplygina; Wan-Jui Lee (SIMBAD, 2011)

Semi-supervised hyperspectral pixel classification using interactive labeling. - Olga Rajadell; Pedro García-Sevilla; Viet Cuong Dinh; Robert P. W. Duin (WHISPERS, 2011)

Combining Dissimilarities for Three-Way Data Classification. - Diana Porro-Muñoz; Isneri Talavera-Bustamante; Robert P. W. Duin; Mauricio Orozco-Alzate (Computación y Sistemas, 2011)

Dissimilarity-based detection of schizophrenia. - Aydin Ulas; Robert P. W. Duin; Umberto Castellani; Marco Loog; Pasquale Mirtuono; Manuele Bicego; Vittorio Murino; Marcella Bellani; Stefania Cerruti; Michele Tansella; Paolo Brambilla (Int. J. Imaging Syst. Technol., 2011)

SEDMI: Saliency based edge detection in multispectral images. - Viet Cuong Dinh; Raimund Leitner; Pavel Paclík; Marco Loog; Robert P. W. Duin (Image Vis. Comput., 2011)

An experimental study of one- and two-level classifier fusion for different sample sizes. - Chunxia Zhang 002; Robert P. W. Duin (Pattern Recognit. Lett., 2011)

Classification of three-way data by the dissimilarity representation. - Diana Porro-Muñoz; Robert P. W. Duin; Isneri Talavera-Bustamante; Mauricio Orozco-Alzate (Signal Process., 2011)

On Using Asymmetry Information for Classification in Extended Dissimilarity Spaces. - Yenisel Plasencia Calana; Edel B. García Reyes; Robert P. W. Duin; Mauricio Orozco-Alzate (CIARP, 2012)

Continuous Multi-way Shape Measure for Dissimilarity Representation. - Diana Porro-Muñoz; Robert P. W. Duin; Mauricio Orozco-Alzate; Isneri Talavera-Bustamante (CIARP, 2012)

A study on semi-supervised dissimilarity representation. - Viet Cuong Dinh; Robert P. W. Duin; Marco Loog (ICPR, 2012)

Training data selection for cancer detection in multispectral endoscopy images. - Viet Cuong Dinh; Marco Loog; Raimund Leitner; Olga Rajadell; Robert P. W. Duin (ICPR, 2012)

Automated classification of local patches in colon histopathology. - Habil Kalkan; Marius Nap; Robert P. W. Duin; Marco Loog (ICPR, 2012)

Combining multi-scale dissimilarities for image classification. - Yan Li 009; Robert P. W. Duin; Marco Loog (ICPR, 2012)

Classification using High Order Dissimilarities in Non-euclidean Spaces. - Helena Aidos; Ana L. N. Fred; Robert P. W. Duin (ICPRAM (1), 2012)

Automated Colorectal Cancer Diagnosis for Whole-Slice Histopathology. - Habil Kalkan; Marius Nap; Robert P. W. Duin; Marco Loog (MICCAI (3), 2012)

Supervised localization of cell nuclei on TMA images. - Alessandro Ibba; Robert P. W. Duin; Marco Loog (MMBIA, 2012)

Mode Seeking Clustering by KNN and Mean Shift Evaluated. - Robert P. W. Duin; Ana L. N. Fred; Marco Loog; Elzbieta Pekalska (SSPR/SPR, 2012)

The Dipping Phenomenon. - Marco Loog; Robert P. W. Duin (SSPR/SPR, 2012)

A Two-Stage Combined Classifier in Scale Space Texture Classification - Mehrdad J. Gangeh; Robert P. W. Duin; Bart M. ter Haar Romeny; Mohamed S. Kamel (CoRR, 2012)

Bridging Structure and Feature Representations in Graph Matching. - Wan-Jui Lee; Veronika Cheplygina; David M. J. Tax; Marco Loog; Robert P. W. Duin (Int. J. Pattern Recognit. Artif. Intell., 2012)

The dissimilarity space: Bridging structural and statistical pattern recognition. - Robert P. W. Duin; Elzbieta Pekalska (Pattern Recognit. Lett., 2012)

Towards Cluster-Based Prototype Sets for Classification in the Dissimilarity Space. - Yenisel Plasencia Calana; Mauricio Orozco-Alzate; Edel B. García Reyes; Robert P. W. Duin (CIARP (1), 2013)

Missing Values in Dissimilarity-Based Classification of Multi-way Data. - Diana Porro-Muñoz; Robert P. W. Duin; Isneri Talavera (CIARP (1), 2013)

The Area under the ROC Curve as a Criterion for Clustering Evaluation. - Helena Aidos; Robert P. W. Duin; Ana L. N. Fred (ICPRAM, 2013)

The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples. - Yan Li 009; David M. J. Tax; Robert P. W. Duin; Marco Loog (MCS, 2013)

On the Informativeness of Asymmetric Dissimilarities. - Yenisel Plasencia Calana; Veronika Cheplygina; Robert P. W. Duin; Edel B. García Reyes; Mauricio Orozco-Alzate; David M. J. Tax; Marco Loog (SIMBAD, 2013)

Selecting feature lines in generalized dissimilarity representations for pattern recognition. - Yenisel Plasencia Calana; Mauricio Orozco-Alzate; Edel B. García Reyes; Robert P. W. Duin (Digit. Signal Process., 2013)

FIDOS: A generalized Fisher based feature extraction method for domain shift. - Viet Cuong Dinh; Robert P. W. Duin; Ignacio Piqueras-Salazar; Marco Loog (Pattern Recognit., 2013)

Multiple-instance learning as a classifier combining problem. - Yan Li 009; David M. J. Tax; Robert P. W. Duin; Marco Loog (Pattern Recognit., 2013)

Multi-spectral video endoscopy system for the detection of cancerous tissue. - Raimund Leitner; Martin De Biasio; Thomas Arnold; Viet Cuong Dinh; Marco Loog; Robert P. W. Duin (Pattern Recognit. Lett., 2013)

Non-Euclidean Dissimilarities: Causes, Embedding and Informativeness. - Robert P. W. Duin; Elzbieta Pekalska; Marco Loog (Similarity-Based Pattern Analysis and Recognition, 2013)

Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria. - Yenisel Plasencia Calana; Mauricio Orozco-Alzate; Heydi Mendez Vazquez; Edel B. García Reyes; Robert P. W. Duin (S+SSPR, 2014)

Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance. - Robert P. W. Duin; Manuele Bicego; Mauricio Orozco-Alzate; Sang-Woon Kim; Marco Loog (S+SSPR, 2014)

Improving Hyperspectral Pixel Classification With Unsupervised Training Data Selection. - Olga Rajadell; Pedro García-Sevilla; Viet Cuong Dinh; Robert P. W. Duin (IEEE Geosci. Remote. Sens. Lett., 2014)

Spherical and Hyperbolic Embeddings of Data. - Richard C. Wilson 001; Edwin R. Hancock; Elzbieta Pekalska; Robert P. W. Duin (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

The dissimilarity representation for finding universals from particulars by an anti-essentialist approach. - Robert P. W. Duin (Pattern Recognit. Lett., 2015)

A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection. - Yenisel Plasencia Calana; Yan Li 009; Robert P. W. Duin; Mauricio Orozco-Alzate; Marco Loog; Edel B. García Reyes (CIARP, 2016)

Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space. - Mauricio Orozco-Alzate; Robert P. W. Duin; Manuele Bicego (S+SSPR, 2016)

The Similarity Between Dissimilarities. - David M. J. Tax; Veronika Cheplygina; Robert P. W. Duin; Jan van de Poll (S+SSPR, 2016)

Zero-error dissimilarity based classifiers. - Robert P. W. Duin; Elzbieta Pekalska (CoRR, 2016)

Domain based classification. - Robert P. W. Duin; Elzbieta Pekalska (CoRR, 2016)

Fast kNN mode seeking clustering applied to active learning. - Robert P. W. Duin; Sergey Verzakov (CoRR, 2017)

The Origin of Patterns. - Robert P. W. Duin (Frontiers Comput. Sci., 2021)