381 search results - page 40 / 77 » Boosting linear discriminant analysis for face recognition |
CVPR
2008
IEEE
13 years 8 months ago
2008
IEEE
Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in...
PAMI
2008
13 years 7 months ago
2008
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
CRV
2005
IEEE
14 years 1 months ago
2005
IEEE
We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate ex...
SPEECH
1998
13 years 7 months ago
1998
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
TIP
2010
13 years 2 months ago
2010
Gabor features have been known to be effective for face recognition. However, only a few approaches utilize phase feature and they usually perform worse than those using magnitude ...