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» Independent component analysis: algorithms and applications
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JMM2
2008
92views more  JMM2 2008»
13 years 9 months ago
Dimensionality Reduction using SOM based Technique for Face Recognition
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
Dinesh Kumar, C. S. Rai, Shakti Kumar
ICA
2004
Springer
14 years 2 months ago
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
Fabian J. Theis, Shun-ichi Amari
ICPR
2004
IEEE
14 years 10 months ago
Recognition of Expression Variant Faces Using Weighted Subspaces
In the past decade or so, subspace methods have been largely used in face recognition ? generally with quite success. Subspace approaches, however, generally assume the training d...
Aleix M. Martínez, Yongbin Zhang
ICA
2004
Springer
14 years 2 months ago
Estimating Functions for Blind Separation when Sources Have Variance-Dependencies
The blind separation problem where the sources are not independent, but have variance-dependencies is discussed. Hyv¨arinen and Hurri[1] proposed an algorithm which requires no as...
Motoaki Kawanabe, Klaus-Robert Müller
WIAMIS
2009
IEEE
14 years 3 months ago
Full action instances for motion analysis
Motion analysis is an important component of surveillance, video annotation and many other applications. Current work focuses on the tracking of moving entities, the representatio...
Stergios Poularakis, Alexia Briassouli, Ioannis Ko...