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» Lattice Independent Component Analysis for fMRI Analysis
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ICIP
2000
IEEE
14 years 10 months ago
Clustered Component Analysis for FMRI Signal Estimation and Classification
In this paper, we introduce a method for estimating the statistically distinct neural responses in an sequence of functional magnetic resonance images (fMRI). The crux of our meth...
Charles A. Bouman, Sea Chen, Mark J. Lowe
ISCAS
2005
IEEE
131views Hardware» more  ISCAS 2005»
14 years 2 months ago
Blind signal separation into groups of dependent signals using joint block diagonalization
— Multidimensional or group independent component analysis describes the task of transforming a multivariate observed sensor signal such that groups of the transformed signal com...
Fabian J. Theis
ICA
2012
Springer
12 years 4 months ago
A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets
We consider an extension of ICA and BSS for separating mutually dependent and independent components from two related data sets. We propose a new method which first uses canonical...
Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi
HAIS
2010
Springer
13 years 9 months ago
Lattice Independent Component Analysis for Mobile Robot Localization
Ivan Villaverde, Borja Fernández-Gauna, Eka...
ICIP
2002
IEEE
14 years 10 months ago
An ICA algorithm for analyzing multiple data sets
In this paper we derive an independent-component analysis (ICA) method for analyzing two or more data sets simultaneously. Our model permits there to be components individual to t...
Ana S. Lukic, Lars Kai Hansen, Miles N. Wernick, S...