A decision-boundary-oriented feature selection method and its application to face recognition
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
- Appears in Collection
- EE-Journal Papers(저널논문)
- Files in This Item
- There are no files associated with this item.
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