Elzbieta Pekalska

CoRR, 2016

Zero-error dissimilarity based classifiers.

[BibT_eX]

[DOI]

CoRR, 2016

2014

Spherical and Hyperbolic Embeddings of Data.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

2013

Non-Euclidean Dissimilarities: Causes, Embedding and Informativeness.

[BibT_eX]

[DOI]

Marco Loog

Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

2012

The dissimilarity space: Bridging structural and statistical pattern recognition.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2012

Mode Seeking Clustering by KNN and Mean Shift Evaluated.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

2011

The Dissimilarity Representation for Structural Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010

Non-Euclidean Dissimilarities: Causes and Informativeness.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2010

Feature-Based Dissimilarity Space Classification.

[BibT_eX]

[DOI]

Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

Spherical embeddings for non-Euclidean dissimilarities.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Indefinite Kernel Discriminant Analysis.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Computational Statistics, 2010

2009

Component-based discriminative classification for hidden Markov models.

[BibT_eX]

[DOI]

Pattern Recognit., 2009

Kernel Discriminant Analysis for Positive Definite and Indefinite Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Minimum spanning tree based one-class classifier.

[BibT_eX]

[DOI]

Neurocomputing, 2009

Clustering-Based Construction of Hidden Markov Models for Generative Kernels.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

2008

Beyond Traditional Kernels: Classification in Two Dissimilarity-Based Representation Spaces.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part C, 2008

On Euclidean Corrections for Non-Euclidean Dissimilarities.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2008

Indefinite Kernel Fisher Discriminant.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

On refining dissimilarity matrices for an improved NN learning.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Classification with Kernel Mahalanobis Distance Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2007

The Science of Pattern Recognition. Achievements and Perspectives.

[BibT_eX]

[DOI]

Proceedings of the Challenges for Computational Intelligence, 2007

Pairwise feature evaluation for constructing reduced representations.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2007

Group-Induced Vector Spaces.

[BibT_eX]

[DOI]

Manuele Bicego

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2006

Prototype selection for dissimilarity-based classifiers.

[BibT_eX]

[DOI]

Pavel Paclík

Pattern Recognit., 2006

Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces.

[BibT_eX]

[DOI]

M. Lozano

José Martínez Sotoca

José Salvador Sánchez

Filiberto Pla

Pattern Recognit., 2006

Outlier Detection Using Ball Descriptions with Adjustable Metric.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2006

Transforming Strings to Vector Spaces Using Prototype Selection.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2006

Non-Euclidean or Non-metric Measures Can Be Informative.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2006

Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2006

Structural Inference of Sensor-Based Measurements.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2006

Learning with General Proximity Measures.

[BibT_eX]

Proceedings of the Pattern Recognition in Information Systems, 2006

Dissimilarity-based classification for vectorial representations.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005

The Dissimilarity Representation for Pattern Recognition - Foundations and Applications

[BibT_eX]

[DOI]

Series in Machine Perception and Artificial Intelligence 64, WorldScientific, ISBN: 978-981-4479-14-1, 2005

Pairwise Selection of Features and Prototypes.

[BibT_eX]

[DOI]

Proceedings of the Computer Recognition Systems, 2005

Open Issues in Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Recognition Systems, 2005

2004

A Study On Combining Image Representations For Image Classification And Retrieval.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2004

On Not Making Dissimilarities Euclidean.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2004

Combining Dissimilarity-Based One-Class Classifiers.

[BibT_eX]

[DOI]

Marina Skurichina

Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

The Characterization of Classification Problems by Classifier Disagreements.

[BibT_eX]

[DOI]

David M. J. Tax

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2002

Dissimilarity representations allow for building good classifiers.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2002

Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2002

Possibilities of Zero-Error Recognition by Dissimilarity Representations.

[BibT_eX]

Proceedings of the Pattern Recognition in Information Systems, 2002

One-Class LP Classifiers for Dissimilarity Representations.

[BibT_eX]

[DOI]

David M. J. Tax

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

A Discussion on the Classifier Projection Space for Classifier Combining.

[BibT_eX]

[DOI]

Marina Skurichina

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

On Combining One-Class Classifiers for Image Database Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

The Economics of Classification: Error vs. Complexity.

[BibT_eX]

[DOI]

Dick de Ridder

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Prototype Selection for Finding Efficient Representations of Dissimilarity Data.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001

A Generalized Kernel Approach to Dissimilarity-based Classification.

[BibT_eX]

[DOI]

Pavel Paclík

J. Mach. Learn. Res., 2001

On Combining Dissimilarity Representations.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

2000

Combining Fisher Linear Discriminants for Dissimilarity Representations.

[BibT_eX]

[DOI]

Marina Skurichina

Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

Classifiers for Dissimilarity-Based Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999

Relational discriminant analysis.

[BibT_eX]

[DOI]