58 search results - page 4 / 12 » Bagging Based Efficient Kernel Fisher Discriminant Analysis ... |
NIPS
2004
13 years 7 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
PR
2007
13 years 5 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...
FGR
2006
IEEE
13 years 10 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...
ICB
2007
Springer
13 years 10 months ago
2007
Springer
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...
BMVC
2001
13 years 8 months ago
2001
We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating feature...