1004 search results - page 76 / 201 » A comparison of generalized linear discriminant analysis alg... |
BMCBI
2006
13 years 8 months ago
2006
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
NIPS
2008
13 years 10 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
JCIT
2008
13 years 8 months ago
2008
Image recognition using various image classifiers is an active research area. In this paper we will describe a new face recognition method based on PCA (Principal Component Analys...
SAS
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. In his seminal paper [5], Granger presents an analysis which infers linear congruence relations between integer variables. For affine programs without guards, his analys...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...