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» Complex ICA Using Nonlinear Functions
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ASPDAC
2009
ACM
164views Hardware» more  ASPDAC 2009»
13 years 11 months ago
Accounting for non-linear dependence using function driven component analysis
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
Lerong Cheng, Puneet Gupta, Lei He
TNN
2008
187views more  TNN 2008»
13 years 5 months ago
Complex ICA by Negentropy Maximization
In this paper, we use complex analytic functions to achieve independent component analysis (ICA) by maximization of non-Gaussianity and introduce the complex maximization of nonGau...
Mike Novey, Tülay Adali
ICASSP
2010
IEEE
13 years 3 months ago
Flexible complex ICA of fMRI data
Data-driven analysis methods, in particular independent component analysis (ICA) has proven quite useful for the analysis of functional magnetic imaging (fMRI) data. In addition, ...
Hualiang Li, Tülay Adali, Nicolle M. Correa, ...
ICASSP
2010
IEEE
13 years 3 months ago
Phase correction and denoising for ICA of complex FMRI data
Analysis of functional magnetic resonance imaging (fMRI) data in its native, complex form has been shown to increase the sensitivity of the analysis both for data driven technique...
Pedro Rodriguez, Tülay Adali, Hualiang Li, Ni...
ICA
2010
Springer
13 years 2 months ago
Using Non-Negative Matrix Factorization for Removing Show-Through
Scanning process usually degrades digital documents due to the contents of the backside of the scanned manuscript. This is often because of the show-through effect, i.e. the backsi...
Farnood Merrikh-Bayat, Massoud Babaie-Zadeh, Chris...