Elzbieta Pekalska

52 papers A* 1B 3C 1Journal 15Unranked 29
YearRankTypeTitle / Venue / Authors
2016 J jnl
Domain based classification.
CoRR
Robert P. W. Duin, Elzbieta Pekalska
2016 J jnl
Zero-error dissimilarity based classifiers.
CoRR
Robert P. W. Duin, Elzbieta Pekalska
2014 J jnl
Spherical and Hyperbolic Embeddings of Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Richard C. Wilson, Edwin R. Hancock, Elzbieta Pekalska, Robert P. W. Duin
2013 — ch.
Non-Euclidean Dissimilarities: Causes, Embedding and Informativeness.
Similarity-Based Pattern Analysis and Recognition
Robert P. W. Duin, Elzbieta Pekalska, Marco Loog
2012 — conf
Mode Seeking Clustering by KNN and Mean Shift Evaluated.
SSPR/SPR
Robert P. W. Duin, Ana L. N. Fred, Marco Loog, Elzbieta Pekalska
2012 J jnl
The dissimilarity space: Bridging structural and statistical pattern recognition.
Pattern Recognit. Lett.
Robert P. W. Duin, Elzbieta Pekalska
2011 C conf
The Dissimilarity Representation for Structural Pattern Recognition.
CIARP
Robert P. W. Duin, Elzbieta Pekalska
2010 — conf
Feature-Based Dissimilarity Space Classification.
ICPR Contests
Robert P. W. Duin, Marco Loog, Elzbieta Pekalska, David M. J. Tax
2010 — conf
Indefinite Kernel Discriminant Analysis.
COMPSTAT
Bernard Haasdonk, Elzbieta Pekalska
2010 — conf
Non-Euclidean Dissimilarities: Causes and Informativeness.
SSPR/SPR
Robert P. W. Duin, Elzbieta Pekalska
2010 A* conf
Spherical embeddings for non-Euclidean dissimilarities.
CVPR
Richard C. Wilson, Edwin R. Hancock, Elzbieta Pekalska, Robert P. W. Duin
2009 — conf
Clustering-Based Construction of Hidden Markov Models for Generative Kernels.
EMMCVPR
Manuele Bicego, Marco Cristani, Vittorio Murino, Elzbieta Pekalska, Robert P. W. Duin
2009 J jnl
Component-based discriminative classification for hidden Markov models.
Pattern Recognit.
Manuele Bicego, Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin
2009 J jnl
Kernel Discriminant Analysis for Positive Definite and Indefinite Kernels.
IEEE Trans. Pattern Anal. Mach. Intell.
Elzbieta Pekalska, Bernard Haasdonk
2009 J jnl
Minimum spanning tree based one-class classifier.
Neurocomputing
Piotr Juszczak, David M. J. Tax, Elzbieta Pekalska, Robert P. W. Duin
2008 J jnl
Beyond Traditional Kernels: Classification in Two Dissimilarity-Based Representation Spaces.
IEEE Trans. Syst. Man Cybern. Part C
Elzbieta Pekalska, Robert P. W. Duin
2008 — conf
Classification with Kernel Mahalanobis Distance Classifiers.
GfKl
Bernard Haasdonk, Elzbieta Pekalska
2008 B conf
Indefinite Kernel Fisher Discriminant.
ICPR
Bernard Haasdonk, Elzbieta Pekalska
2008 — conf
On Euclidean Corrections for Non-Euclidean Dissimilarities.
SSPR/SPR
Robert P. W. Duin, Elzbieta Pekalska, Artsiom Harol, Wan-Jui Lee, Horst Bunke
2008 B conf
On refining dissimilarity matrices for an improved NN learning.
ICPR
Robert P. W. Duin, Elzbieta Pekalska
2007 — conf
Group-Induced Vector Spaces.
MCS
Manuele Bicego, Elzbieta Pekalska, Robert P. W. Duin
2007 J jnl
Pairwise feature evaluation for constructing reduced representations.
Pattern Anal. Appl.
Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robert P. W. Duin
2007 — ch.
The Science of Pattern Recognition. Achievements and Perspectives.
Challenges for Computational Intelligence
Robert P. W. Duin, Elzbieta Pekalska
2006 — conf
Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces.
SSPR/SPR
Artsiom Harol, Elzbieta Pekalska, Serguei Verzakov, Robert P. W. Duin
2006 — conf
Dissimilarity-based classification for vectorial representations.
ICPR (3)
Elzbieta Pekalska, Robert P. W. Duin
2006 J jnl
Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces.
Pattern Recognit.
M. Lozano, José Martínez Sotoca, José Salvador Sánchez, Filiberto Pla, Elzbieta Pekalska, Robert P. W. Duin
2006 — conf
Learning with General Proximity Measures.
PRIS
Elzbieta Pekalska, Robert P. W. Duin
2006 — conf
Non-Euclidean or Non-metric Measures Can Be Informative.
SSPR/SPR
Elzbieta Pekalska, Artsiom Harol, Robert P. W. Duin, Barbara Spillmann, Horst Bunke
2006 — conf
Outlier Detection Using Ball Descriptions with Adjustable Metric.
SSPR/SPR
David M. J. Tax, Piotr Juszczak, Elzbieta Pekalska, Robert P. W. Duin
2006 J jnl
Prototype selection for dissimilarity-based classifiers.
Pattern Recognit.
Elzbieta Pekalska, Robert P. W. Duin, Pavel Paclík
2006 — conf
Structural Inference of Sensor-Based Measurements.
SSPR/SPR
Robert P. W. Duin, Elzbieta Pekalska
2006 — conf
Transforming Strings to Vector Spaces Using Prototype Selection.
SSPR/SPR
Barbara Spillmann, Michel Neuhaus, Horst Bunke, Elzbieta Pekalska, Robert P. W. Duin
2005 — conf
Open Issues in Pattern Recognition.
CORES
Robert P. W. Duin, Elzbieta Pekalska
2005 — conf
Pairwise Selection of Features and Prototypes.
CORES
Elzbieta Pekalska, Artsiom Harol, Carmen Lai, Robert P. W. Duin
2005 — book
The Dissimilarity Representation for Pattern Recognition - Foundations and Applications
Elzbieta Pekalska, Robert P. W. Duin
2004 J jnl
A Study On Combining Image Representations For Image Classification And Retrieval.
Int. J. Pattern Recognit. Artif. Intell.
Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík
2004 — conf
Combining Dissimilarity-Based One-Class Classifiers.
Multiple Classifier Systems
Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin
2004 — conf
On Not Making Dissimilarities Euclidean.
SSPR/SPR
Elzbieta Pekalska, Robert P. W. Duin, Simon Günter, Horst Bunke
2004 — conf
The Characterization of Classification Problems by Classifier Disagreements.
ICPR (1)
Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax
2002 — conf
A Discussion on the Classifier Projection Space for Classifier Combining.
Multiple Classifier Systems
Elzbieta Pekalska, Robert P. W. Duin, Marina Skurichina
2002 J jnl
Dissimilarity representations allow for building good classifiers.
Pattern Recognit. Lett.
Elzbieta Pekalska, Robert P. W. Duin
2002 — conf
On Combining One-Class Classifiers for Image Database Retrieval.
Multiple Classifier Systems
Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík
2002 — conf
One-Class LP Classifiers for Dissimilarity Representations.
NIPS
Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin
2002 — conf
Possibilities of Zero-Error Recognition by Dissimilarity Representations.
PRIS
Robert P. W. Duin, Elzbieta Pekalska
2002 — conf
Prototype Selection for Finding Efficient Representations of Dissimilarity Data.
ICPR (3)
Elzbieta Pekalska, Robert P. W. Duin
2002 — conf
Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings.
SSPR/SPR
Elzbieta Pekalska, Robert P. W. Duin
2002 — conf
The Economics of Classification: Error vs. Complexity.
ICPR (2)
Dick de Ridder, Elzbieta Pekalska, Robert P. W. Duin
2001 J jnl
A Generalized Kernel Approach to Dissimilarity-based Classification.
J. Mach. Learn. Res.
Elzbieta Pekalska, Pavel Paclík, Robert P. W. Duin
2001 — conf
On Combining Dissimilarity Representations.
Multiple Classifier Systems
Elzbieta Pekalska, Robert P. W. Duin
2000 B conf
Classifiers for Dissimilarity-Based Pattern Recognition.
ICPR
Elzbieta Pekalska, Robert P. W. Duin
2000 — conf
Combining Fisher Linear Discriminants for Dissimilarity Representations.
Multiple Classifier Systems
Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin
1999 J jnl
Relational discriminant analysis.
Pattern Recognit. Lett.
Robert P. W. Duin, Elzbieta Pekalska, Dick de Ridder