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ICASSP
2011
IEEE
13 years 7 days ago
Global convergence of independent component analysis based on semidefinite programming relaxation
In the independent component analysis, polynomial functions of higher order statistics are often used as cost functions. However, such cost functions usually have many local minim...
Shotaro Akaho, Jun Fujiki
ICASSP
2007
IEEE
14 years 2 months ago
ICA-Based Algorithms Applied to Image Coding
Recently, Narozny et al [1] proposed a new viewpoint in variable high-rate transform coding. They showed that the problem of finding the optimal 1-D linear block transform for a ...
Michel Narozny, Michel Barret
ESANN
2007
13 years 10 months ago
Agglomerative Independent Variable Group Analysis
Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
Antti Honkela, Jeremias Seppä, Esa Alhoniemi
IJON
2007
99views more  IJON 2007»
13 years 8 months ago
A relative trust-region algorithm for independent component analysis
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
Heeyoul Choi, Seungjin Choi
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