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ICASSP
2009
IEEE
14 years 4 months ago
Independent component analysis for noisy speech recognition
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
Hsin-Lung Hsieh, Jen-Tzung Chien, Koichi Shinoda, ...
CEC
2007
IEEE
14 years 3 months ago
Constrained genetic algorithm based independent component analysis
Independent Component Analysis, a computationally efficient statistical signal processing technique, has been an area of interest for researchers for many practical applications in...
D. P. Acharya, Ganapati Panda, Y. V. S. Lakshmi
IDA
2009
Springer
14 years 3 months ago
Estimating Squared-Loss Mutual Information for Independent Component Analysis
Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
Taiji Suzuki, Masashi Sugiyama
PR
2006
95views more  PR 2006»
13 years 9 months ago
Subspace independent component analysis using vector kurtosis
This discussion presents a new perspective of subspace independent component analysis (ICA). The notion of a function of cumulants (kurtosis) is generalized to vector kurtosis. Th...
Alok Sharma, Kuldip K. Paliwal