381 search results - page 10 / 77 » Boosting linear discriminant analysis for face recognition |
SIBGRAPI
2005
IEEE
14 years 1 months ago
2005
IEEE
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
CIVR
2005
Springer
14 years 1 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...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
A multiblock-fusion scheme for face recognition is proposed in this paper. Three face recognition algorithms, i.e. probabilistic match, Linear Discriminant Analysis (LDA) and Disc...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
CIVR
2007
Springer
14 years 1 months ago
2007
Springer
Over the years, many Linear Discriminant Analysis (LDA) algorithms have been proposed for the study of high dimensional data in a large variety of problems. An intrinsic limitatio...