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Author
David Guillamet; Jordi Vitria; B. Shiele
Title
Introducing a weighted non-negative matrix factorization for image classification
Type
Journal Article
Year
2003
Publication
Pattern Recognition Letters
Abbreviated Journal
PRL
Volume
24
Issue
14
Pages
2447–2454
Keywords
Abstract
IF: 0.809
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 @ GVS2003
Serial
382
Permanent link to this record
Author
David Masip; Agata Lapedriza; Jordi Vitria
Title
Boosted Online Learning for Face Recognition
Type
Journal Article
Year
2009
Publication
IEEE Transactions on Systems, Man and Cybernetics part B
Abbreviated Journal
TSMCB
Volume
39
Issue
2
Pages
530–538
Keywords
Abstract
Face recognition applications commonly suffer from three main drawbacks: a reduced training set, information lying in high-dimensional subspaces, and the need to incorporate new people to recognize. In the recent literature, the extension of a face classifier in order to include new people in the model has been solved using online feature extraction techniques. The most successful approaches of those are the extensions of the principal component analysis or the linear discriminant analysis. In the current paper, a new online boosting algorithm is introduced: a face recognition method that extends a boosting-based classifier by adding new classes while avoiding the need of retraining the classifier each time a new person joins the system. The classifier is learned using the multitask learning principle where multiple verification tasks are trained together sharing the same feature space. The new classes are added taking advantage of the structure learned previously, being the addition of new classes not computationally demanding. The present proposal has been (experimentally) validated with two different facial data sets by comparing our approach with the current state-of-the-art techniques. The results show that the proposed online boosting algorithm fares better in terms of final accuracy. In addition, the global performance does not decrease drastically even when the number of classes of the base problem is multiplied by eight.
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
1083–4419
ISBN
Medium
Area
Expedition
Conference
Notes
OR;MV
Approved
no
Call Number
BCNPCL @ bcnpcl @ MLV2009
Serial
1155
Permanent link to this record
Author
David Masip; Jordi Vitria
Title
Feature Extraction for Nearest Neighbor Classification. Application to Gender Recognition
Type
Journal
Year
2005
Publication
International Journal of Intelligent Systems, 20(5): 561–576 (IF: 0.657)
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 @ MaV2005
Serial
562
Permanent link to this record
Author
David Masip; Jordi Vitria
Title
Boosted discriminant projections for nearest neighbor classification
Type
Journal
Year
2006
Publication
Pattern Recognition, 39(2): 164–170
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 @ MaV2006
Serial
634
Permanent link to this record
Author
David Masip; Jordi Vitria
Title
Shared Feature Extraction for Nearest Neighbor Face Recognition
Type
Journal
Year
2008
Publication
IEEE Transactions on Neural Networks
Abbreviated Journal
Volume
19
Issue
4
Pages
586–595
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 @ MaV2008
Serial
944
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