414 search results - page 1 / 83 » Kernel Optimization in Discriminant Analysis |
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
In Kernel Fisher discriminant analysis (KFDA), we carry out Fisher linear discriminant analysis in a high dimensional feature space defined implicitly by a kernel. The performance...
TNN
2010
13 years 15 days ago
2010
Discriminant analysis plays an important role in statistical pattern recognition. A popular method is the Foley
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
PAMI
2011
13 years 22 days ago
2011
— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
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...