334 search results - page 39 / 67 » Diagonal principal component analysis for face recognition |
FGR
2006
IEEE
14 years 2 months ago
2006
IEEE
Gabor feature has been widely recognized as one of the best representations for face recognition. However, traditionally, it has to be reduced in dimension due to curse of dimensi...
ECCV
2000
Springer
15 years 7 days ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
CIVR
2005
Springer
14 years 3 months ago
2005
Springer
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
MM
2004
ACM
14 years 3 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
PAMI
2008
13 years 10 months ago
2008
Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms using ...