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IJON
2007
112views more  IJON 2007»
13 years 6 months ago
Extraction of spatio-temporal primitives of emotional body expressions
Experimental and computational studies suggest that complex motor behavior is based on simpler spatiotemporal primitives, or synergies. This has been demonstrated by application o...
Lars Omlor, Martin A. Giese
IDA
2009
Springer
14 years 20 days ago
Estimating Phase Linearity in the Frequency-Domain ICA Demixing Matrix
We consider a method for solving the permutation problem in blind source separation (BSS) by the frequency-domain independent component analysis (FD-ICA) by using phase linearity o...
Keisuke Toyama, Mark D. Plumbley
IJON
2006
169views more  IJON 2006»
13 years 6 months ago
Denoising using local projective subspace methods
In this paper we present denoising algorithms for enhancing noisy signals based on Local ICA (LICA), Delayed AMUSE (dAMUSE) and Kernel PCA (KPCA). The algorithm LICA relies on app...
Peter Gruber, Kurt Stadlthanner, Matthias Böh...
ICASSP
2008
IEEE
14 years 17 days ago
A new mutual information measure for independent component alalysis
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
Jen-Tzung Chien, Hsin-Lung Hsieh, Sadaoki Furui
BMCBI
2006
203views more  BMCBI 2006»
13 years 6 months ago
Independent component analysis reveals new and biologically significant structures in micro array data
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
Attila Frigyesi, Srinivas Veerla, David Lindgren, ...