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Author
F. Pla; Petia Radeva; Jordi Vitria
Title
Non-parametric distance-based classification techniques and their applications
Type
Journal
Year
2008
Publication
Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications
Abbreviated Journal
Volume
11
Issue
3-4
Pages
223–225
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Springer
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
OR;MILAB;MV
Approved
no
Call Number
BCNPCL @ bcnpcl @ PRV2008
Serial
999
Permanent link to this record
Author
M. Bressan; David Guillamet; Jordi Vitria
Title
Multiclass Object Recognition using Class-Conditional Independent Component Analisis
Type
Journal
Year
2004
Publication
Cybernetics and Systems, 35/1:35–61 (IF: 0.768)
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
OR;MV
Approved
no
Call Number
BCNPCL @ bcnpcl @ BGV2004
Serial
442
Permanent link to this record
Author
Miguel Angel Bautista; Sergio Escalera; Xavier Baro; Petia Radeva; Jordi Vitria; Oriol Pujol
Title
Minimal Design of Error-Correcting Output Codes
Type
Journal Article
Year
2011
Publication
Pattern Recognition Letters
Abbreviated Journal
PRL
Volume
33
Issue
6
Pages
693-702
Keywords
Multi-class classification; Error-correcting output codes; Ensemble of classifiers
Abstract
IF JCR CCIA 1.303 2009 54/103
The classification of large number of object categories is a challenging trend in the pattern recognition field. In literature, this is often addressed using an ensemble of classifiers. In this scope, the Error-correcting output codes framework has demonstrated to be a powerful tool for combining classifiers. However, most state-of-the-art ECOC approaches use a linear or exponential number of classifiers, making the discrimination of a large number of classes unfeasible. In this paper, we explore and propose a minimal design of ECOC in terms of the number of classifiers. Evolutionary computation is used for tuning the parameters of the classifiers and looking for the best minimal ECOC code configuration. The results over several public UCI datasets and different multi-class computer vision problems show that the proposed methodology obtains comparable (even better) results than state-of-the-art ECOC methodologies with far less number of dichotomizers.
Address
Corporate Author
Thesis
Publisher
Elsevier
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
0167-8655
ISBN
Medium
Area
Expedition
Conference
Notes
MILAB; OR;HuPBA;MV
Approved
no
Call Number
Admin @ si @ BEB2011a
Serial
1800
Permanent link to this record
Author
Bogdan Raducanu; Jordi Vitria
Title
Learning to Learn: From Smarts Machines to Intelligent Machines
Type
Journal
Year
2008
Publication
Patter Recognition Letters
Abbreviated Journal
PRL
Volume
29
Issue
8
Pages
1024–1032
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
OR;MV
Approved
no
Call Number
BCNPCL @ bcnpcl @ RaV2008a
Serial
950
Permanent link to this record
Author
A. Martinez; Jordi Vitria
Title
Learning mixture models using a genetic version of the EM algorithm.
Type
Journal Article
Year
2000
Publication
Pattern Recognition Letters
Abbreviated Journal
PRL
Volume
21
Issue
8
Pages
759–769
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
OR;MV
Approved
no
Call Number
BCNPCL @ bcnpcl @ MVi2000
Serial
335
Permanent link to this record
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