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» Independent component analysis: algorithms and applications
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ICMLA
2008
14 years 11 months ago
Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
Independent Factor Analysis (IFA) is a well known method used to recover independent components from their linear observed mixtures without any knowledge on the mixing process. Su...
Etienne Côme, Zohra Leila Cherfi, Latifa Ouk...
TNN
2008
187views more  TNN 2008»
14 years 9 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
71
Voted
ISCI
2007
138views more  ISCI 2007»
14 years 9 months ago
A fast algorithm for one-unit ICA-R
Independent component analysis (ICA) aims to recover a set of unknown mutually independent source signals from their observed mixtures without knowledge of the mixing coefficients...
Qiu-Hua Lin, Yong-Rui Zheng, Fuliang Yin, Hualou L...
70
Voted
ASPDAC
2009
ACM
164views Hardware» more  ASPDAC 2009»
15 years 4 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
GLOBECOM
2009
IEEE
15 years 4 months ago
Data Acquisition through Joint Compressive Sensing and Principal Component Analysis
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...