1004 search results - page 22 / 201 » A comparison of generalized linear discriminant analysis alg... |
PAMI
2011
13 years 3 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...
CVPR
2010
IEEE
14 years 29 days 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...
ISNN
2007
Springer
14 years 2 months ago
2007
Springer
In this paper, a space partition method called “Label Constrained Graph Partition” (LCGP) is presented to solve the Sample-InterweavingPhenomenon in the original space. We firs...
IJPRAI
2006
13 years 8 months ago
2006
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
SIBGRAPI
2009
IEEE
14 years 3 months ago
2009
IEEE
We have designed and implemented a multi-linear discriminant method of constructing and quantifying statistically significant changes on human identity photographs. The method is...