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ORCIDElzbieta Pekalska
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2010 – 2019
- 2016
[i2]Robert P. W. Duin, Elzbieta Pekalska:
Zero-error dissimilarity based classifiers. CoRR abs/1601.04451 (2016)- [i1]Robert P. W. Duin, Elzbieta Pekalska:
Domain based classification. CoRR abs/1601.04530 (2016) - 2014
- [j13]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): 2255-2269 (2014) - 2013
- [p2]Robert P. W. Duin, Elzbieta Pekalska, Marco Loog:
Non-Euclidean Dissimilarities: Causes, Embedding and Informativeness. Similarity-Based Pattern Analysis and Recognition 2013: 13-44 - 2012
- [j12]Robert P. W. Duin, Elzbieta Pekalska:
The dissimilarity space: Bridging structural and statistical pattern recognition. Pattern Recognit. Lett. 33(7): 826-832 (2012) - [c34]Robert P. W. Duin, Ana L. N. Fred, Marco Loog, Elzbieta Pekalska:
Mode Seeking Clustering by KNN and Mean Shift Evaluated. SSPR/SPR 2012: 51-59 - 2011
- [c33]Robert P. W. Duin, Elzbieta Pekalska:
The Dissimilarity Representation for Structural Pattern Recognition. CIARP 2011: 1-24 - 2010
- [c32]Bernard Haasdonk, Elzbieta Pekalska:
Indefinite Kernel Discriminant Analysis. COMPSTAT 2010: 221-230 - [c31]Richard C. Wilson, Edwin R. Hancock, Elzbieta Pekalska, Robert P. W. Duin:
Spherical embeddings for non-Euclidean dissimilarities. CVPR 2010: 1903-1910 - [c30]Robert P. W. Duin, Marco Loog, Elzbieta Pekalska, David M. J. Tax:
Feature-Based Dissimilarity Space Classification. ICPR Contests 2010: 46-55 - [c29]Robert P. W. Duin, Elzbieta Pekalska:
Non-Euclidean Dissimilarities: Causes and Informativeness. SSPR/SPR 2010: 324-333
2000 – 2009
- 2009
- [j11]Piotr Juszczak, David M. J. Tax, Elzbieta Pekalska, Robert P. W. Duin:
Minimum spanning tree based one-class classifier. Neurocomputing 72(7-9): 1859-1869 (2009) - [j10]Elzbieta Pekalska, Bernard Haasdonk:
Kernel Discriminant Analysis for Positive Definite and Indefinite Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 1017-1032 (2009) - [j9]Manuele Bicego, Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin:
Component-based discriminative classification for hidden Markov models. Pattern Recognit. 42(11): 2637-2648 (2009) - [c28]Manuele Bicego, Marco Cristani, Vittorio Murino, Elzbieta Pekalska, Robert P. W. Duin:
Clustering-Based Construction of Hidden Markov Models for Generative Kernels. EMMCVPR 2009: 466-479 - 2008
- [j8]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): 729-744 (2008) - [c27]Bernard Haasdonk, Elzbieta Pekalska:
Classification with Kernel Mahalanobis Distance Classifiers. GfKl 2008: 351-361 - [c26]Robert P. W. Duin, Elzbieta Pekalska:
On refining dissimilarity matrices for an improved NN learning. ICPR 2008: 1-4 - [c25]Bernard Haasdonk, Elzbieta Pekalska:
Indefinite Kernel Fisher Discriminant. ICPR 2008: 1-4 - [c24]Robert P. W. Duin, Elzbieta Pekalska, Artsiom Harol, Wan-Jui Lee, Horst Bunke:
On Euclidean Corrections for Non-Euclidean Dissimilarities. SSPR/SPR 2008: 551-561 - 2007
- [j7]Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robert P. W. Duin:
Pairwise feature evaluation for constructing reduced representations. Pattern Anal. Appl. 10(1): 55-68 (2007) - [c23]Manuele Bicego, Elzbieta Pekalska, Robert P. W. Duin:
Group-Induced Vector Spaces. MCS 2007: 190-199 - [p1]Robert P. W. Duin, Elzbieta Pekalska:
The Science of Pattern Recognition. Achievements and Perspectives. Challenges for Computational Intelligence 2007: 221-259 - 2006
- [j6]Elzbieta Pekalska, Robert P. W. Duin, Pavel Paclík:
Prototype selection for dissimilarity-based classifiers. Pattern Recognit. 39(2): 189-208 (2006) - [j5]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): 1827-1838 (2006) - [c22]Elzbieta Pekalska, Robert P. W. Duin:
Dissimilarity-based classification for vectorial representations. ICPR (3) 2006: 137-140 - [c21]Elzbieta Pekalska, Robert P. W. Duin:
Learning with General Proximity Measures. PRIS 2006 - [c20]Robert P. W. Duin, Elzbieta Pekalska:
Structural Inference of Sensor-Based Measurements. SSPR/SPR 2006: 41-55 - [c19]Barbara Spillmann, Michel Neuhaus, Horst Bunke, Elzbieta Pekalska, Robert P. W. Duin:
Transforming Strings to Vector Spaces Using Prototype Selection. SSPR/SPR 2006: 287-296 - [c18]David M. J. Tax, Piotr Juszczak, Elzbieta Pekalska, Robert P. W. Duin:
Outlier Detection Using Ball Descriptions with Adjustable Metric. SSPR/SPR 2006: 587-595 - [c17]Artsiom Harol, Elzbieta Pekalska, Serguei Verzakov, Robert P. W. Duin:
Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces. SSPR/SPR 2006: 613-621 - [c16]Elzbieta Pekalska, Artsiom Harol, Robert P. W. Duin, Barbara Spillmann, Horst Bunke:
Non-Euclidean or Non-metric Measures Can Be Informative. SSPR/SPR 2006: 871-880 - 2005
- [b1]Elzbieta Pekalska, Robert P. W. Duin:
The Dissimilarity Representation for Pattern Recognition - Foundations and Applications. Series in Machine Perception and Artificial Intelligence 64, WorldScientific 2005, ISBN 978-981-256-530-3, pp. 1-636 - [c15]Robert P. W. Duin, Elzbieta Pekalska:
Open Issues in Pattern Recognition. CORES 2005: 27-42 - [c14]Elzbieta Pekalska, Artsiom Harol, Carmen Lai, Robert P. W. Duin:
Pairwise Selection of Features and Prototypes. CORES 2005: 271-278 - 2004
- [j4]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): 867-890 (2004) - [c13]Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax:
The Characterization of Classification Problems by Classifier Disagreements. ICPR (1) 2004: 140-143 - [c12]Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin:
Combining Dissimilarity-Based One-Class Classifiers. Multiple Classifier Systems 2004: 122-133 - [c11]Elzbieta Pekalska, Robert P. W. Duin, Simon Günter, Horst Bunke:
On Not Making Dissimilarities Euclidean. SSPR/SPR 2004: 1145-1154 - 2002
- [j3]Elzbieta Pekalska, Robert P. W. Duin:
Dissimilarity representations allow for building good classifiers. Pattern Recognit. Lett. 23(8): 943-956 (2002) - [c10]Elzbieta Pekalska, Robert P. W. Duin:
Prototype Selection for Finding Efficient Representations of Dissimilarity Data. ICPR (3) 2002: 37-40 - [c9]Dick de Ridder, Elzbieta Pekalska, Robert P. W. Duin:
The Economics of Classification: Error vs. Complexity. ICPR (2) 2002: 244-247 - [c8]Elzbieta Pekalska, Robert P. W. Duin, Marina Skurichina:
A Discussion on the Classifier Projection Space for Classifier Combining. Multiple Classifier Systems 2002: 137-148 - [c7]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: 212-221 - [c6]Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin:
One-Class LP Classifiers for Dissimilarity Representations. NIPS 2002: 761-768 - [c5]Robert P. W. Duin, Elzbieta Pekalska:
Possibilities of Zero-Error Recognition by Dissimilarity Representations. PRIS 2002: 20-32 - [c4]Elzbieta Pekalska, Robert P. W. Duin:
Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings. SSPR/SPR 2002: 488-497 - 2001
- [j2]Elzbieta Pekalska, Pavel Paclík, Robert P. W. Duin:
A Generalized Kernel Approach to Dissimilarity-based Classification. J. Mach. Learn. Res. 2: 175-211 (2001) - [c3]Elzbieta Pekalska, Robert P. W. Duin:
On Combining Dissimilarity Representations. Multiple Classifier Systems 2001: 359-368 - 2000
- [c2]Elzbieta Pekalska, Robert P. W. Duin:
Classifiers for Dissimilarity-Based Pattern Recognition. ICPR 2000: 2012-2016 - [c1]Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin:
Combining Fisher Linear Discriminants for Dissimilarity Representations. Multiple Classifier Systems 2000: 117-126
1990 – 1999
- 1999
- [j1]Robert P. W. Duin, Elzbieta Pekalska, Dick de Ridder:
Relational discriminant analysis. Pattern Recognit. Lett. 20(11-13): 1175-1181 (1999)
Coauthor Index
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