Elzbieta Pekalska

Publication Activity (10 Years)

Years Active: 1999-2016
Publications (10 Years): 2

Top Topics

Statistical Pattern Recognition

K Nearest Neighbour

Classification Systems

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Pattern Recognit. Lett.

Publications

Robert P. W. Duin, Elzbieta Pekalska
Zero-error dissimilarity based classifiers. CoRR (2016)
Robert P. W. Duin, Elzbieta Pekalska
Domain based classification. CoRR (2016)
Richard C. Wilson, Edwin R. Hancock, Elzbieta Pekalska, Robert P. W. Duin
Spherical and Hyperbolic Embeddings of Data. IEEE Trans. Pattern Anal. Mach. Intell. 36 (11) (2014)
Robert P. W. Duin, Elzbieta Pekalska
The dissimilarity space: Bridging structural and statistical pattern recognition. Pattern Recognit. Lett. 33 (7) (2012)
Robert P. W. Duin, Ana L. N. Fred, Marco Loog, Elzbieta Pekalska
Mode Seeking Clustering by KNN and Mean Shift Evaluated. SSPR/SPR (2012)
Robert P. W. Duin, Elzbieta Pekalska
The Dissimilarity Representation for Structural Pattern Recognition. CIARP (2011)
Bernard Haasdonk, Elzbieta Pekalska
Indefinite Kernel Discriminant Analysis. COMPSTAT (2010)
Robert P. W. Duin, Marco Loog, Elzbieta Pekalska, David M. J. Tax
Feature-Based Dissimilarity Space Classification. ICPR Contests (2010)
Robert P. W. Duin, Elzbieta Pekalska
Non-Euclidean Dissimilarities: Causes and Informativeness. SSPR/SPR (2010)
Richard C. Wilson, Edwin R. Hancock, Elzbieta Pekalska, Robert P. W. Duin
Spherical embeddings for non-Euclidean dissimilarities. CVPR (2010)
Piotr Juszczak, David M. J. Tax, Elzbieta Pekalska, Robert P. W. Duin
Minimum spanning tree based one-class classifier. Neurocomputing 72 (7-9) (2009)
Elzbieta Pekalska, Bernard Haasdonk
Kernel Discriminant Analysis for Positive Definite and Indefinite Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 31 (6) (2009)
Manuele Bicego, Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin
Component-based discriminative classification for hidden Markov models. Pattern Recognit. 42 (11) (2009)
Manuele Bicego, Marco Cristani, Vittorio Murino, Elzbieta Pekalska, Robert P. W. Duin
Clustering-Based Construction of Hidden Markov Models for Generative Kernels. EMMCVPR (2009)
Robert P. W. Duin, Elzbieta Pekalska, Artsiom Harol, Wan-Jui Lee, Horst Bunke
On Euclidean Corrections for Non-Euclidean Dissimilarities. SSPR/SPR (2008)
Bernard Haasdonk, Elzbieta Pekalska
Classification with Kernel Mahalanobis Distance Classifiers. GfKl (2008)
Bernard Haasdonk, Elzbieta Pekalska
Indefinite Kernel Fisher Discriminant. ICPR (2008)
Elzbieta Pekalska, Robert P. W. Duin
Beyond Traditional Kernels: Classification in Two Dissimilarity-Based Representation Spaces. IEEE Trans. Syst. Man Cybern. Part C 38 (6) (2008)
Robert P. W. Duin, Elzbieta Pekalska
On refining dissimilarity matrices for an improved NN learning. ICPR (2008)
Manuele Bicego, Elzbieta Pekalska, Robert P. W. Duin
Group-Induced Vector Spaces. MCS (2007)
Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robert P. W. Duin
Pairwise feature evaluation for constructing reduced representations. Pattern Anal. Appl. 10 (1) (2007)
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 Recognit. 39 (10) (2006)
Elzbieta Pekalska, Artsiom Harol, Robert P. W. Duin, Barbara Spillmann, Horst Bunke
Non-Euclidean or Non-metric Measures Can Be Informative. SSPR/SPR (2006)
Elzbieta Pekalska, Robert P. W. Duin, Pavel Paclík
Prototype selection for dissimilarity-based classifiers. Pattern Recognit. 39 (2) (2006)
Barbara Spillmann, Michel Neuhaus, Horst Bunke, Elzbieta Pekalska, Robert P. W. Duin
Transforming Strings to Vector Spaces Using Prototype Selection. SSPR/SPR (2006)
Artsiom Harol, Elzbieta Pekalska, Serguei Verzakov, Robert P. W. Duin
Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces. SSPR/SPR (2006)
David M. J. Tax, Piotr Juszczak, Elzbieta Pekalska, Robert P. W. Duin
Outlier Detection Using Ball Descriptions with Adjustable Metric. SSPR/SPR (2006)
Robert P. W. Duin, Elzbieta Pekalska
Structural Inference of Sensor-Based Measurements. SSPR/SPR (2006)
Elzbieta Pekalska, Robert P. W. Duin
Dissimilarity-based classification for vectorial representations. ICPR (3) (2006)
Elzbieta Pekalska, Robert P. W. Duin
Learning with General Proximity Measures. PRIS (2006)
Robert P. W. Duin, Elzbieta Pekalska
Open Issues in Pattern Recognition. CORES (2005)
Elzbieta Pekalska, Artsiom Harol, Carmen Lai, Robert P. W. Duin
Pairwise Selection of Features and Prototypes. CORES (2005)
Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax
The Characterization of Classification Problems by Classifier Disagreements. ICPR (1) (2004)
Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin
Combining Dissimilarity-Based One-Class Classifiers. Multiple Classifier Systems (2004)
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. Int. J. Pattern Recognit. Artif. Intell. 18 (5) (2004)
Elzbieta Pekalska, Robert P. W. Duin, Simon Günter, Horst Bunke
On Not Making Dissimilarities Euclidean. SSPR/SPR (2004)
Dick de Ridder, Elzbieta Pekalska, Robert P. W. Duin
The Economics of Classification: Error vs. Complexity. ICPR (2) (2002)
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)
Robert P. W. Duin, Elzbieta Pekalska
Possibilities of Zero-Error Recognition by Dissimilarity Representations. PRIS (2002)
Elzbieta Pekalska, Robert P. W. Duin
Prototype Selection for Finding Efficient Representations of Dissimilarity Data. ICPR (3) (2002)
Elzbieta Pekalska, Robert P. W. Duin
Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings. SSPR/SPR (2002)
Elzbieta Pekalska, Robert P. W. Duin
Dissimilarity representations allow for building good classifiers. Pattern Recognit. Lett. 23 (8) (2002)
Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin
One-Class LP Classifiers for Dissimilarity Representations. NIPS (2002)
Elzbieta Pekalska, Robert P. W. Duin, Marina Skurichina
A Discussion on the Classifier Projection Space for Classifier Combining. Multiple Classifier Systems (2002)
Elzbieta Pekalska, Pavel Paclík, Robert P. W. Duin
A Generalized Kernel Approach to Dissimilarity-based Classification. J. Mach. Learn. Res. 2 (2001)
Elzbieta Pekalska, Robert P. W. Duin
On Combining Dissimilarity Representations. Multiple Classifier Systems (2001)
Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin
Combining Fisher Linear Discriminants for Dissimilarity Representations. Multiple Classifier Systems (2000)
Elzbieta Pekalska, Robert P. W. Duin
Classifiers for Dissimilarity-Based Pattern Recognition. ICPR (2000)
Robert P. W. Duin, Elzbieta Pekalska, Dick de Ridder
Relational discriminant analysis. Pattern Recognit. Lett. 20 (11-13) (1999)