132 search results - page 25 / 27 » Linear State-Space Models for Blind Source Separation |
IJON
1998
14 years 9 months ago
1998
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
132
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In the past decade there has been a great interest in a synthesis-based model for signals, based on sparse and redundant representations. Such a model assumes that the signal of i...
EDM
2010
14 years 11 months ago
2010
Functional magnetic resonance imaging (fMRI) data were collected while students worked with a tutoring system that taught an algebra isomorph. A cognitive model predicted the distr...
109
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ICANNGA
2007
Springer
15 years 3 months ago
2007
Springer
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...