93 search results - page 7 / 19 » Greedy Kernel Principal Component Analysis |
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
CSDA
2010
13 years 10 months ago
2010
Kernel Principal Component Analysis extends linear PCA from a Euclidean space to any reproducing kernel Hilbert space. Robustness issues for Kernel PCA are studied. The sensitivit...
CAGD
2007
13 years 9 months ago
2007
The extraction of curvature information for surfaces is a basic problem of Geometry Processing. Recently an integral invariant solution of this problem was presented, which is bas...
NIPS
2003
13 years 11 months ago
2003
We consider the problem of reconstructing patterns from a feature map. Learning algorithms using kernels to operate in a reproducing kernel Hilbert space (RKHS) express their solu...
CGI
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we apply Nystr