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

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

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

On Combining Dissimilarity Representations. - Elzbieta Pekalska; 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)

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)

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)

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)

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

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

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

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

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

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

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

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

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

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

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)

Group-Induced Vector Spaces. - Manuele Bicego; Elzbieta Pekalska; 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)

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

Classification with Kernel Mahalanobis Distance Classifiers. - Bernard Haasdonk; Elzbieta Pekalska (GfKl, 2008)

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

Indefinite Kernel Fisher Discriminant. - Bernard Haasdonk; Elzbieta Pekalska (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)

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

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

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

Kernel Discriminant Analysis for Positive Definite and Indefinite Kernels. - Elzbieta Pekalska; Bernard Haasdonk (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

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

Indefinite Kernel Discriminant Analysis. - Bernard Haasdonk; Elzbieta Pekalska (COMPSTAT, 2010)

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

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

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

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

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

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

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)

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

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