325 search results - page 15 / 65 » Statistical Properties of Kernel Principal Component Analysi... |
IDA
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
NECO
2011
13 years 2 months ago
2011
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
NIPS
2003
13 years 9 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...
MIR
2010
ACM
13 years 6 months ago
2010
ACM
A novel backwards viewpoint of Principal Component Analysis is proposed. In a wide variety of cases, that fall into the area of Object Oriented Data Analysis, this viewpoint is se...
CGI
2006
IEEE
13 years 11 months ago
2006
IEEE
In this paper, we apply Nystr