414 search results - page 1 / 83 » Kernel Optimization in Discriminant Analysis |
ICML
2006
IEEE
15 years 10 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
14 years 4 months ago
2010
Discriminant analysis plays an important role in statistical pattern recognition. A popular method is the Foley
86
Voted
CVPR
2010
IEEE
15 years 1 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...
92
Voted
PAMI
2011
14 years 4 months 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...
93
Voted
KDD
2007
ACM
15 years 10 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...