921 search results - page 6 / 185 » Kernel Principal Component Analysis |
ICML
2007
IEEE
16 years 19 days ago
2007
IEEE
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
CGI
2006
IEEE
15 years 3 months ago
2006
IEEE
In this paper, we apply Nystr
106
click to vote
ICPR
2006
IEEE
16 years 28 days 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...
102
click to vote
NECO
1998
14 years 11 months ago
1998
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
110
click to vote
NIPS
2003
15 years 1 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...