95 search results - page 2 / 19 » Relative Gradient Learning for Independent Subspace Analysis |
NECO
2008
13 years 5 months ago
2008
We introduce a new approach to constrained Independent Component Analysis (ICA) by formulating the original, unconstrained ICA problem as well as the constraints in mutual informa...
ICA
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In contrast to the traditional hypothesis-driven methods, independent component analysis (ICA) is commonly used in functional magnetic resonance imaging (fMRI) studies to...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
We propose a new algorithm for independent component and independent subspace analysis problems. This algorithm uses a contrast based on the Schweizer-Wolff measure of pairwise de...
ICCV
2009
IEEE
13 years 3 months ago
2009
IEEE
We propose a subspace learning algorithm for face recognition by directly optimizing recognition performance scores. Our approach is motivated by the following observations: 1) Di...
ISCAS
2008
IEEE
13 years 12 months ago
2008
IEEE
— Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing and highdimensional...