664 search results - page 2 / 133 » Kernel Independent Component Analysis |
ICA
2007
Springer
13 years 11 months ago
2007
Springer
We present a robust algorithm for independent component analysis that uses the sum of marginal quadratic negentropies as a dependence measure. It can handle arbitrary source densit...
NIPS
2008
13 years 6 months ago
2008
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
TSP
2012
12 years 14 days ago
2012
—Modeling natural and artificial systems has played a key role in various applications and has long been a task that has drawn enormous efforts. In this work, instead of explori...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
ICA
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Mutual information (MI) is a common criterion in independent component analysis (ICA) optimization. MI is derived from probability density functions (PDF). There are scen...