773 search results - page 23 / 155 » Kernel Change-point Analysis |
119
Voted
WACV
2002
IEEE
15 years 8 months ago
2002
IEEE
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
145
Voted
ECCV
2004
Springer
15 years 9 months ago
2004
Springer
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
170
Voted
CVPR
2009
IEEE
15 years 7 months ago
2009
IEEE
In this paper general solutions for Nonlinear Nonnegative Component Analysis for data representation and recognition are proposed. That is, motivated by a combination of the Nonne...
138
Voted
IJCAI
2007
15 years 5 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
130
Voted
COLT
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...