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ISBI
2004
IEEE
14 years 10 months ago
Subspace Models for Functional MRI Data Analysis
The models used for analyzing functional MRI (fMRI) data have profound impact on the detection of active brain areas. In this paper temporal and spatial linear subspace models for...
Ola Friman
IJCNN
2006
IEEE
14 years 3 months ago
Relative Gradient Learning for Independent Subspace Analysis
Abstract— Independent subspace analysis (ISA) is a generalization of independent component analysis (ICA), where multidimensional ICA is incorporated with the idea of invariant f...
Heeyoul Choi, Seungjin Choi
ICA
2012
Springer
12 years 5 months ago
Contrast Functions for Independent Subspace Analysis
We consider the Independent Subspace Analysis problem from the point of view of contrast functions, showing that contrast functions are able to partially solve the ISA problem. Tha...
Jason A. Palmer, Scott Makeig
MICCAI
2009
Springer
14 years 10 months ago
Tensor-Based Morphometry with Mappings Parameterized by Stationary Velocity Fields in Alzheimer's Disease Neuroimaging Initiativ
Tensor-based morphometry (TBM) is an analysis technique where anatomical information is characterized by means of the spatial transformations between a customized template and obse...
Ernesto Zacur, Matías Nicolás Bossa,...
ICCS
2005
Springer
14 years 3 months ago
Bifurcation Analysis of Large Equilibrium Systems in Matlab
The Continuation of Invariant Subspaces (CIS) algorithm produces a smoothly varying basis for an invariant subspace R(s) of a parameter-dependent matrix A(s). In the case when A(s)...
David Bindel, James Demmel, Mark J. Friedman, Will...