Sciweavers

25 search results - page 3 / 5
» A Characteristic Function Based Contrast Function for Blind ...
Sort
View
IDA
2009
Springer
13 years 3 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
ISBI
2011
IEEE
12 years 9 months ago
Automatic mask generation using independent component analysis in dynamic contrast enhanced-MRI
Studying image intensity change in each pixel in dynamic contrast enhanced (DCE)-MRI data enables differentiation of different tissue types based on their difference in contrast u...
Hatef Mehrabian, Ian Pang, Chaitanya Chandrana, Ra...
ICA
2004
Springer
13 years 11 months ago
Blind Signal Separation of Convolutive Mixtures: A Time-Domain Joint-Diagonalization Approach
We address the blind source separation (BSS) problem for the convolutive mixing case. Second-order statistical methods are employed assuming the source signals are non-stationary a...
Marcel Joho
ICA
2007
Springer
13 years 12 months ago
Subspaces of Spatially Varying Independent Components in fMRI
Abstract. In contrast to the traditional hypothesis-driven methods, independent component analysis (ICA) is commonly used in functional magnetic resonance imaging (fMRI) studies to...
Jarkko Ylipaavalniemi, Ricardo Vigário
EAAI
2006
157views more  EAAI 2006»
13 years 5 months ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...