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» An online Hebbian learning rule that performs Independent Co...
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90
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NIPS
2007
15 years 1 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...
89
Voted
ISCAS
2008
IEEE
169views Hardware» more  ISCAS 2008»
15 years 6 months ago
Sigma-delta learning for super-resolution independent component analysis
— Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing and highdimensional...
Amin Fazel, Shantanu Chakrabartty
JMLR
2008
188views more  JMLR 2008»
14 years 12 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
98
Voted
EAAI
2006
157views more  EAAI 2006»
15 years 14 days ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...
94
Voted
ICASSP
2008
IEEE
15 years 7 months ago
Sigma-delta resolution enhancement for far-field acoustic source separation
Many source separation algorithms fail to deliver robust performance when applied to signals recorded using highdensity microphone arrays where distance between sensor elements is...
Amin Fazel, Shantanu Chakrabartty