83 search results - page 1 / 17 » Sigma-delta learning for super-resolution independent compon... |
NECO
2011
12 years 11 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 ...
CIS
2005
Springer
13 years 9 months ago
2005
Springer
Independent component analysis (ICA) has been applied in many fields of signal processing and many ICA learning algorithms have been proposed from different perspectives. However...
ICA
2004
Springer
13 years 9 months ago
2004
Springer
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
NIPS
2007
13 years 5 months ago
2007
Independent component analysis (ICA) is a powerful method to decouple signals. Most of the algorithms performing ICA do not consider the temporal correlations of the signal, but o...
ISCAS
2008
IEEE
13 years 10 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...