72 search results - page 5 / 15 » Margin-based discriminant dimensionality reduction for visua... |
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...
WACV
2002
IEEE
15 years 2 months ago
2002
IEEE
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
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CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
The problem of appearance-based recognition of faces and facial expressions is addressed. Previous work on sliced inverse regression (SIR) resulted in the formulation of an appear...
PR
2007
14 years 9 months ago
2007
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...