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ICASSP
2011
IEEE
13 years 2 months ago
Global convergence of independent component analysis based on semidefinite programming relaxation
In the independent component analysis, polynomial functions of higher order statistics are often used as cost functions. However, such cost functions usually have many local minim...
Shotaro Akaho, Jun Fujiki
ICA
2007
Springer
14 years 5 months ago
Optimization on the Orthogonal Group for Independent Component Analysis
Abstract. This paper derives a new algorithm that performs independent component analysis (ICA) by optimizing the contrast function of the RADICAL algorithm. The core idea of the p...
Michel Journée, Pierre-Antoine Absil, Rodol...
IJON
2006
180views more  IJON 2006»
13 years 10 months 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...
ICA
2007
Springer
14 years 5 months ago
Extraction of Atrial Activity from the ECG by Spectrally Constrained ICA Based on Kurtosis Sign
Abstract. This paper deals with the problem of estimating atrial activity during atrial fibrillation periods in the electrocardiogram (ECG). Since the signal of interest differs ...
Ronald Phlypo, Vicente Zarzoso, Pierre Comon, Yves...
JMLR
2002
160views more  JMLR 2002»
13 years 10 months ago
Kernel Independent Component Analysis
We present a class of algorithms for independent component analysis (ICA) which use contrast functions based on canonical correlations in a reproducing kernel Hilbert space. On th...
Francis R. Bach, Michael I. Jordan