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» Lattice Independent Component Analysis for fMRI Analysis
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IPPS
2000
IEEE
14 years 1 months ago
FANTOMAS: Fault Tolerance for Mobile Agents in Clusters
Abstract. To achieve an efficient utilization of cluster systems, a proper programming and operating environment is required. In this context, mobile agents are of growing interes...
Holger Pals, Stefan Petri, Claus Grewe
CSDA
2008
115views more  CSDA 2008»
13 years 9 months ago
Complex-valued ICA based on a pair of generalized covariance matrices
It is shown that any pair of scatter and spatial scatter matrices yields an estimator of the separating matrix for complex-valued independent component analysis (ICA). Scatter (re...
Esa Ollila, Hannu Oja, Visa Koivunen
ISCI
2007
138views more  ISCI 2007»
13 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...
TNN
1998
96views more  TNN 1998»
13 years 8 months ago
Noise suppressing sensor encoding and neural signal orthonormalization
In this paper we regard first the situation where parallel channels are disturbed by noise. With the goal of maximal information conservation we deduce the conditions for a transf...
Rüdiger W. Brause, M. Rippl
TIP
2002
179views more  TIP 2002»
13 years 8 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki