48 search results - page 5 / 10 » Random Sampling LDA for Face Recognition |
CVPR
2005
IEEE
16 years 8 days ago
2005
IEEE
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
87
Voted
AUSAI
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
71
Voted
AVBPA
2003
Springer
15 years 3 months ago
2003
Springer
Abstract. A number of applications require robust human face recognition under varying environmental lighting conditions and different facial expressions, which considerably vary ...
WCE
2007
14 years 11 months ago
2007
—Face recognition is a biometric identification method which among the other methods such as, finger print identification, speech recognition, signature and hand written recognit...
85
Voted
FGR
2004
IEEE
15 years 2 months ago
2004
IEEE
The null space-based LDA takes full advantage of the null space while the other methods remove the null space. It proves to be optimal in performance. From the theoretical analysi...