32 search results - page 3 / 7 » Semi-supervised discriminant analysis based on UDP regulariz... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Linear discriminant analysis (LDA) is a widely used feature extraction method for classification. We introduce distributed implementations of different versions of LDA, suitable ...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
SDM
2009
SIAM
14 years 3 months ago
2009
SIAM
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
JMLR
2008
13 years 5 months ago
2008
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...