52 search results - page 5 / 11 » Fisher Kernel Criterion for Discriminant Analysis |
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
CVPR
2010
IEEE
13 years 12 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...
JMLR
2006
13 years 7 months ago
2006
In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
ISCAS
2006
IEEE
14 years 1 months ago
2006
IEEE
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...
NIPS
2007
13 years 9 months ago
2007
We study a pattern classification algorithm which has recently been proposed by Vapnik and coworkers. It builds on a new inductive principle which assumes that in addition to pos...