414 search results - page 8 / 83 » Kernel Optimization in Discriminant Analysis |
ICDAR
2007
IEEE
14 years 1 months ago
2007
IEEE
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
A convenient way of dealing with image sets is to represent them as points on Grassmannian manifolds. While several recent studies explored the applicability of discriminant analy...
TNN
2011
13 years 2 months ago
2011
ICDM
2003
IEEE
14 years 26 days ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Many linear discriminant analysis (LDA) and kernel Fisher discriminant analysis (KFD) methods are based on the restrictive assumption that the data are homoscedastic. In this paper...