230 search results - page 5 / 46 » Independent component analysis for noisy data -- MEG data an... |
ICA
2004
Springer
13 years 10 months ago
2004
Springer
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 ...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— We show that independent component analysis (ICA) can be used to find distributed representations for words that can be further processed by thresholding to produce sparse rep...
IDEAL
2000
Springer
13 years 8 months ago
2000
Springer
Factor model is a very useful and popular model in finance. In this paper, we show the relation between factor model and blind source separation, and we propose to use Independent ...
BMCBI
2008
13 years 5 months ago
2008
Background: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and ...
JIPS
2007
13 years 5 months ago
2007
: 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...