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» Blind Source Separation of a Class of Nonlinear Mixtures
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ICCV
2009
IEEE
13 years 5 months ago
Component analysis approach to estimation of tissue intensity distributions of 3D images
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
Arridhana Ciptadi, Cheng Chen, Vitali Zagorodnov
IJON
2007
112views more  IJON 2007»
13 years 7 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
ICASSP
2009
IEEE
14 years 2 months ago
Using phase linearity in frequency-domain ICA to tackle the permutation problem
This paper describes a method for solving the permutation problem in the frequency-domain independent component analysis (FD-ICA) approach to blind source separation (BSS). FD-ICA...
Keisuke Toyama, Mark D. Plumbley
MSE
2002
IEEE
198views Hardware» more  MSE 2002»
14 years 15 days ago
BSS: A New Approach for Watermark Attack
Digital watermarking is the enabling technology to prove ownership on copyrighted material, detect originators of illegally made copies, monitor the usage of the copyrighted multi...
Jiang Du, Choong-Hoon Lee, Heung-Kyu Lee, Young-Ho...
BMCBI
2006
203views more  BMCBI 2006»
13 years 7 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, ...