A decision-boundary-oriented feature selection method and its application to face recognition

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A novel feature selection scheme is proposed. We construct a piecewise linear decision boundary, and find a feature sub-space suitable to the constructed boundary. Experimental results show that the proposed scheme outperforms conventional algorithms from the viewpoint of recognition accuracy. (C) 2009 Elsevier B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2009-10
Language
English
Article Type
Article
Keywords

NONPARAMETRIC DISCRIMINANT-ANALYSIS; EXPRESSION RECOGNITION; LINEAR DISCRIMINANT; FEATURE-EXTRACTION; CLASSIFICATION; EIGENFACES; PROJECTION; FRAMEWORK; LDA

Citation

PATTERN RECOGNITION LETTERS, v.30, no.13, pp.1166 - 1174

ISSN
0167-8655
DOI
10.1016/j.patrec.2009.05.018
URI
http://hdl.handle.net/10203/100909
Appears in Collection
EE-Journal Papers(저널논문)
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