2009 |
35 | EE | 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) |
2008 |
34 | EE | Bernard Haasdonk,
Elzbieta Pekalska:
Indefinite Kernel Fisher Discriminant.
ICPR 2008: 1-4 |
33 | EE | Robert P. W. Duin,
Elzbieta Pekalska:
On refining dissimilarity matrices for an improved NN learning.
ICPR 2008: 1-4 |
32 | EE | 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 |
31 | EE | Manuele Bicego,
Elzbieta Pekalska,
Robert P. W. Duin:
Group-Induced Vector Spaces.
MCS 2007: 190-199 |
30 | EE | Robert P. W. Duin,
Elzbieta Pekalska:
The Science of Pattern Recognition. Achievements and Perspectives.
Challenges for Computational Intelligence 2007: 221-259 |
29 | EE | 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) |
2006 |
28 | EE | Elzbieta Pekalska,
Robert P. W. Duin:
Dissimilarity-based classification for vectorial representations.
ICPR (3) 2006: 137-140 |
27 | | Elzbieta Pekalska,
Robert P. W. Duin:
Learning with General Proximity Measures.
PRIS 2006 |
26 | EE | 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 |
25 | EE | Robert P. W. Duin,
Elzbieta Pekalska:
Structural Inference of Sensor-Based Measurements.
SSPR/SPR 2006: 41-55 |
24 | EE | 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 |
23 | EE | Artsiom Harol,
Elzbieta Pekalska,
Serguei Verzakov,
Robert P. W. Duin:
Augmented Embedding of Dissimilarity Data into (Pseudo-)Euclidean Spaces.
SSPR/SPR 2006: 613-621 |
22 | EE | 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 |
21 | EE | 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 Recognition 39(10): 1827-1838 (2006) |
20 | EE | Elzbieta Pekalska,
Robert P. W. Duin,
Pavel Paclík:
Prototype selection for dissimilarity-based classifiers.
Pattern Recognition 39(2): 189-208 (2006) |
2005 |
19 | EE | Robert P. W. Duin,
Elzbieta Pekalska:
Open Issues in Pattern Recognition.
CORES 2005: 27-42 |
18 | EE | Elzbieta Pekalska,
Artsiom Harol,
Carmen Lai,
Robert P. W. Duin:
Pairwise Selection of Features and Prototypes.
CORES 2005: 271-278 |
2004 |
17 | EE | Robert P. W. Duin,
Elzbieta Pekalska,
David M. J. Tax:
The Characterization of Classification Problems by Classifier Disagreements.
ICPR (1) 2004: 140-143 |
16 | EE | Elzbieta Pekalska,
Marina Skurichina,
Robert P. W. Duin:
Combining Dissimilarity-Based One-Class Classifiers.
Multiple Classifier Systems 2004: 122-133 |
15 | EE | Elzbieta Pekalska,
Robert P. W. Duin,
Simon Günter,
Horst Bunke:
On Not Making Dissimilarities Euclidean.
SSPR/SPR 2004: 1145-1154 |
14 | EE | 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.
IJPRAI 18(5): 867-890 (2004) |
2002 |
13 | EE | Dick de Ridder,
Elzbieta Pekalska,
Robert P. W. Duin:
The Economics of Classification: Error vs. Complexity.
ICPR (2) 2002: 244-247 |
12 | EE | Elzbieta Pekalska,
Robert P. W. Duin:
Prototype Selection for Finding Efficient Representations of Dissimilarity Data.
ICPR (3) 2002: 37-40 |
11 | EE | Elzbieta Pekalska,
Robert P. W. Duin,
Marina Skurichina:
A Discussion on the Classifier Projection Space for Classifier Combining.
Multiple Classifier Systems 2002: 137-148 |
10 | EE | 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 |
9 | EE | Elzbieta Pekalska,
David M. J. Tax,
Robert P. W. Duin:
One-Class LP Classifiers for Dissimilarity Representations.
NIPS 2002: 761-768 |
8 | | Robert P. W. Duin,
Elzbieta Pekalska:
Possibilities of Zero-Error Recognition by Dissimilarity Representations.
PRIS 2002: 20-32 |
7 | EE | Elzbieta Pekalska,
Robert P. W. Duin:
Spatial Representation of Dissimilarity Data via Lower-Complexity Linear and Nonlinear Mappings.
SSPR/SPR 2002: 488-497 |
6 | EE | Elzbieta Pekalska,
Robert P. W. Duin:
Dissimilarity representations allow for building good classifiers.
Pattern Recognition Letters 23(8): 943-956 (2002) |
2001 |
5 | EE | Elzbieta Pekalska,
Robert P. W. Duin:
On Combining Dissimilarity Representations.
Multiple Classifier Systems 2001: 359-368 |
4 | EE | Elzbieta Pekalska,
Pavel Paclík,
Robert P. W. Duin:
A Generalized Kernel Approach to Dissimilarity-based Classification.
Journal of Machine Learning Research 2: 175-211 (2001) |
2000 |
3 | EE | Elzbieta Pekalska,
Robert P. W. Duin:
Classifiers for Dissimilarity-Based Pattern Recognition.
ICPR 2000: 2012-2016 |
2 | EE | Elzbieta Pekalska,
Marina Skurichina,
Robert P. W. Duin:
Combining Fisher Linear Discriminants for Dissimilarity Representations.
Multiple Classifier Systems 2000: 117-126 |
1999 |
1 | EE | Robert P. W. Duin,
Elzbieta Pekalska,
Dick de Ridder:
Relational discriminant analysis.
Pattern Recognition Letters 20(11-13): 1175-1181 (1999) |