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CVPR
2005
IEEE
15 years 11 months ago
Multilinear Independent Components Analysis
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
M. Alex O. Vasilescu, Demetri Terzopoulos
74
Voted
NIPS
2007
14 years 11 months ago
An online Hebbian learning rule that performs Independent Component Analysis
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...
Claudia Clopath, André Longtin, Wulfram Ger...
TSP
2010
14 years 4 months ago
Independent component analysis by entropy bound minimization
A novel (differential) entropy estimator is introduced where the maximum entropy bound is used to approximate the entropy given the observations, and is computed using a numerical ...
Xi-Lin Li, Tülay Adali
ICA
2004
Springer
15 years 3 months ago
Independent Slow Feature Analysis and Nonlinear Blind Source Separation
We present independent slow feature analysis as a new method for nonlinear blind source separation. It circumvents the indeterminacy of nonlinear independent component analysis by ...
Tobias Blaschke, Laurenz Wiskott
ICASSP
2009
IEEE
15 years 4 months ago
Combining independent component analysis with geometric information and its application to speech processing
In this paper, we propose two approaches for combining geometric information with ICA algorithm to solve permutation problem under the scenario where a rough information about the...
Wenyi Zhang, Bhaskar D. Rao