Referenced Items are not available for this document.
The problem of determining the optimal set of discriminant vectors for feature extraction in pattern recognition is investigated. We propose a new direct LDA (D-LDA) method that is applicable to small sample size (SSS) problems often arising in face recognition. The experimental results on two popular databases show the effectiveness of the proposed method.
Published in:
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
(Volume:4
)
Date of Conference: 23-26 Aug. 2004
- Page(s):
- 545 - 548 Vol.4
- ISSN :
- 1051-4651
- Print ISBN:
- 0-7695-2128-2
- INSPEC Accession Number:
- 8230581
- Digital Object Identifier :
- 10.1109/ICPR.2004.1333830
- Product Type:
- Conference Publications
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