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IDA
2009
Springer
13 years 2 months ago
Hierarchical Extraction of Independent Subspaces of Unknown Dimensions
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
Peter Gruber, Harold W. Gutch, Fabian J. Theis
ICASSP
2010
IEEE
13 years 3 months ago
Independent subspace analysis with prior information for fMRI data
Independent component analysis (ICA) has been successfully applied for the analysis of functional magnetic resonance imaging (fMRI) data. However, independence might be too strong...
Sai Ma, Xi-Lin Li, Nicolle M. Correa, Tülay A...
ICA
2007
Springer
13 years 11 months ago
Independent Subspace Analysis Is Unique, Given Irreducibility
Independent Subspace Analysis (ISA) is a generalization of ICA. It tries to find a basis in which a given random vector can be decomposed into groups of mutually independent rando...
Harold W. Gutch, Fabian J. Theis
ICML
2008
IEEE
14 years 5 months ago
ICA and ISA using Schweizer-Wolff measure of dependence
We propose a new algorithm for independent component and independent subspace analysis problems. This algorithm uses a contrast based on the Schweizer-Wolff measure of pairwise de...
Barnabás Póczos, Sergey Kirshner