28 search results - page 3 / 6 » Reproducing kernel Hilbert spaces for spike train analysis |
JMLR
2002
13 years 7 months ago
2002
We present a class of algorithms for independent component analysis (ICA) which use contrast functions based on canonical correlations in a reproducing kernel Hilbert space. On th...
FOCM
2008
13 years 7 months ago
2008
This paper considers the least-square online gradient descent algorithm in a reproducing kernel Hilbert space (RKHS) without explicit regularization. We present a novel capacity i...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
The mismatch between training and test environmental conditions presents a challenge to speech recognition systems. In this paper, we investigate an approach for matching the dist...
CSDA
2010
13 years 7 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...
COLT
2004
Springer
14 years 1 months ago
2004
Springer
The main goal of this paper is to prove inequalities on the reconstruction error for Kernel Principal Component Analysis. With respect to previous work on this topic, our contribu...