Elzbieta Pekalska - researchr alias

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Viewing Publication 1 - 50 from 50

2014

Spherical and Hyperbolic Embeddings of DataRichard C. Wilson, Edwin R. Hancock, Elzbieta Pekalska, Robert P. W. Duin. pami, 36(11):2255-2269, 2014. [doi]

2013

Non-Euclidean Dissimilarities: Causes, Embedding and InformativenessRobert P. W. Duin, Elzbieta Pekalska, Marco Loog. In Marcello Pelillo, editor, Similarity-Based Pattern Analysis and Recognition. Advances in Computer Vision and Pattern Recognition, pages 13-44, Springer, 2013. [doi]

2012

The dissimilarity space: Bridging structural and statistical pattern recognitionRobert P. W. Duin, Elzbieta Pekalska. prl, 33(7):826-832, 2012. [doi]

Mode Seeking Clustering by KNN and Mean Shift EvaluatedRobert P. W. Duin, Ana L. N. Fred, Marco Loog, Elzbieta Pekalska. gacm 2012: 51-59 [doi]

2011

The Dissimilarity Representation for Structural Pattern RecognitionRobert P. W. Duin, Elzbieta Pekalska. ciarp 2011: 1-24 [doi]

2010

2009

2008

2007

Group-Induced Vector SpacesManuele Bicego, Elzbieta Pekalska, Robert P. W. Duin. mcs 2007: 190-199 [doi]

The Science of Pattern Recognition. Achievements and PerspectivesRobert P. W. Duin, Elzbieta Pekalska. In Wlodzislaw Duch, Jacek Mandziuk, editors, Challenges for Computational Intelligence. Volume 63 of Studies in Computational Intelligence, pages 221-259, Springer, 2007. [doi]

Pairwise feature evaluation for constructing reduced representationsArtsiom Harol, Carmen Lai, Elzbieta Pekalska, Robert P. W. Duin. paa, 10(1):55-68, 2007. [doi]

2006

Structural Inference of Sensor-Based MeasurementsRobert P. W. Duin, Elzbieta Pekalska. gacm 2006: 41-55 [doi]

Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean SpacesArtsiom Harol, Elzbieta Pekalska, Serguei Verzakov, Robert P. W. Duin. gacm 2006: 613-621 [doi]

Experimental study on prototype optimisation algorithms for prototype-based classification in vector spacesM. Lozano, José Martínez Sotoca, José Salvador Sánchez, Filiberto Pla, Elzbieta Pekalska, Robert P. W. Duin. PR, 39(10):1827-1838, 2006. [doi]

Prototype selection for dissimilarity-based classifiersElzbieta Pekalska, Robert P. W. Duin, Pavel Paclík. PR, 39(2):189-208, 2006. [doi]

Non-Euclidean or Non-metric Measures Can Be InformativeElzbieta Pekalska, Artsiom Harol, Robert P. W. Duin, Barbara Spillmann, Horst Bunke. gacm 2006: 871-880 [doi]

Dissimilarity-based classification for vectorial representationsElzbieta Pekalska, Robert P. W. Duin. icpr 2006: 137-140 [doi]

Learning with General Proximity MeasuresElzbieta Pekalska, Robert P. W. Duin. pris 2006:

Transforming Strings to Vector Spaces Using Prototype SelectionBarbara Spillmann, Michel Neuhaus, Horst Bunke, Elzbieta Pekalska, Robert P. W. Duin. gacm 2006: 287-296 [doi]

Outlier Detection Using Ball Descriptions with Adjustable MetricDavid M. J. Tax, Piotr Juszczak, Elzbieta Pekalska, Robert P. W. Duin. gacm 2006: 587-595 [doi]

2005

Open Issues in Pattern RecognitionRobert P. W. Duin, Elzbieta Pekalska. cores 2005: 27-42 [doi]

Pairwise Selection of Features and PrototypesElzbieta Pekalska, Artsiom Harol, Carmen Lai, Robert P. W. Duin. cores 2005: 271-278 [doi]

The Dissimilarity Representation for Pattern Recognition - Foundations and ApplicationsElzbieta Pekalska, Robert P. W. Duin. Volume 64 of Series in Machine Perception and Artificial Intelligence, WorldScientific, 2005. [doi]

2004

2002

The Economics of Classification: Error vs. ComplexityDick de Ridder, Elzbieta Pekalska, Robert P. W. Duin. icpr 2002: 244-247 [doi]

Possibilities of Zero-Error Recognition by Dissimilarity RepresentationsRobert P. W. Duin, Elzbieta Pekalska. pris 2002: 20-32

On Combining One-Class Classifiers for Image Database RetrievalCarmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík. mcs 2002: 212-221 [doi]

Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear MappingsElzbieta Pekalska, Robert P. W. Duin. gacm 2002: 488-497 [doi]

Dissimilarity representations allow for building good classifiersElzbieta Pekalska, Robert P. W. Duin. prl, 23(8):943-956, 2002. [doi]

A Discussion on the Classifier Projection Space for Classifier CombiningElzbieta Pekalska, Robert P. W. Duin, Marina Skurichina. mcs 2002: 137-148 [doi]

Prototype Selection for Finding Efficient Representations of Dissimilarity DataElzbieta Pekalska, Robert P. W. Duin. icpr 2002: 37-40 [doi]

One-Class LP Classifiers for Dissimilarity RepresentationsElzbieta Pekalska, David M. J. Tax, Robert P. W. Duin. nips 2003: 761-768 [doi]

2001

A Generalized Kernel Approach to Dissimilarity-based ClassificationElzbieta Pekalska, Pavel Paclík, Robert P. W. Duin. jmlr, 2:175-211, 2001. [doi]

On Combining Dissimilarity RepresentationsElzbieta Pekalska, Robert P. W. Duin. mcs 2001: 359-368 [doi]

2000

Classifiers for Dissimilarity-Based Pattern RecognitionElzbieta Pekalska, Robert P. W. Duin. icpr 2000: 2012-2016 [doi]

Combining Fisher Linear Discriminants for Dissimilarity RepresentationsElzbieta Pekalska, Marina Skurichina, Robert P. W. Duin. mcs 2000: 117-126 [doi]

1999

Relational discriminant analysisRobert P. W. Duin, Elzbieta Pekalska, Dick de Ridder. prl, 20(11-13):1175-1181, 1999. [doi]

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1999

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