381 search results - page 19 / 77 » Boosting linear discriminant analysis for face recognition |
IJCAI
2007
13 years 9 months ago
2007
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
ICARCV
2008
IEEE
14 years 2 months ago
2008
IEEE
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...
FGR
2004
IEEE
13 years 11 months ago
2004
IEEE
Face representation based on Gabor features has attracted much attention and achieved great success in face recognition area for the advantages of the Gabor features. However, Gab...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
We introduce in this paper a new face coding and recognition method which employs the Enhanced FLD (Fisher Linear Discrimimant) Model (EFM)on integrated shape (vector) and texture...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...