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80
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RE
2001
Springer
15 years 5 months ago
Domain Independent Regularities in Scenarios
Scenario is a description technique which has attracted much attention not only from practitioners but also from researchers. Literature on this topic shows the possibilities that...
Marcela Ridao, Jorge Horacio Doorn, Julio Cesar Sa...
ICASSP
2010
IEEE
14 years 11 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...
98
Voted
ISBI
2002
IEEE
16 years 1 months ago
A spatially robust ICA algorithm for multiple fMRI data sets
In this paper we derive an independent-component analysis (ICA) method for analyzing two or more data sets simultaneously. Our model extracts independent components common to all ...
Ana S. Lukic, Miles N. Wernick, Lars Kai Hansen, J...
115
Voted
ICA
2010
Springer
15 years 1 months ago
Adaptive Underdetermined ICA for Handling an Unknown Number of Sources
Independent Component Analysis is the best known method for solving blind source separation problems. In general, the number of sources must be known in advance. In many cases, pre...
Andreas Sandmair, Alam Zaib, Fernando Puente Le&oa...
102
Voted
NIPS
2008
15 years 2 months ago
Kernel Measures of Independence for non-iid Data
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...