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105
Voted
JMLR
2002
73views more  JMLR 2002»
15 years 3 days ago
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
We apply a variational method to automatically determine the number of mixtures of independent components in high-dimensional datasets, in which the sources may be nonsymmetricall...
Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
IJON
2006
180views more  IJON 2006»
15 years 13 days ago
Nonnegative independent component analysis based on minimizing mutual information technique
A novel neural network technique for nonnegative independent component analysis is proposed in this letter. Compared with other algorithms, this method can work efficiently even w...
Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Mich...
96
Voted
ISCAS
1999
IEEE
97views Hardware» more  ISCAS 1999»
15 years 4 months ago
Monaural separation of independent acoustical components
The problem of blindly separating signal mixtures with fewer mixture components than independent signal sources is mathematically ill-defined, and requires suitable prior informat...
Gert Cauwenberghs
NIPS
2004
15 years 1 months ago
Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis
In contrast to the equivalence of linear blind source separation and linear independent component analysis it is not possible to recover the original source signal from some unkno...
Tobias Blaschke, Laurenz Wiskott
JIPS
2007
103views more  JIPS 2007»
15 years 10 days ago
Feature Extraction of Concepts by Independent Component Analysis
: Semantic clustering is important to various fields in the modern information society. In this work we applied the Independent Component Analysis method to the extraction of the f...
Altangerel Chagnaa, Cheolyoung Ock, Chang Beom Lee...