158 search results - page 5 / 32 » Face Recognition using Layered Linear Discriminant Analysis ... |
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
In the past decade or so, subspace methods have been largely used in face recognition ? generally with quite success. Subspace approaches, however, generally assume the training d...
108
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CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
97
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AMFG
2005
IEEE
15 years 3 months ago
2005
IEEE
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
CVPR
2005
IEEE
15 years 9 months ago
2005
IEEE
A novel framework called 2D Fisher Discriminant Analysis
(2D-FDA) is proposed to deal with the Small Sample
Size (SSS) problem in conventional One-Dimensional Linear
Discriminan...
102
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ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...