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ICANN
2010
Springer
15 years 1 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
95
Voted
IJON
2006
148views more  IJON 2006»
15 years 1 months ago
Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis
Abstract. Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data is commonly carried out under the assumption that each source may be represented...
Jörn Anemüller, Jeng-Ren Duann, Terrence...
87
Voted
QUESTA
2006
110views more  QUESTA 2006»
15 years 1 months ago
Analysis of customers' impatience in queues with server vacations
Abstract Many models for customers impatience in queueing systems have been studied in the past; the source of impatience has always been taken to be either a long wait already exp...
Eitan Altman, Uri Yechiali
JMLR
2002
160views more  JMLR 2002»
15 years 1 months ago
Kernel Independent Component Analysis
We present a class of algorithms for independent component analysis (ICA) which use contrast functions based on canonical correlations in a reproducing kernel Hilbert space. On th...
Francis R. Bach, Michael I. Jordan
INTERSPEECH
2010
14 years 8 months ago
Glottal-based analysis of the lombard effect
The Lombard effect refers to the speech changes due to the immersion of the speaker in a noisy environment. Among these changes, studies have already reported acoustic modificatio...
Thomas Drugman, Thierry Dutoit