1176 search results - page 63 / 236 » Sparse reward processes |
140
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
146
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
The Common Spatial Pattern (CSP) method is a powerful technique for feature extraction from multichannel neural activity and widely used in brain computer interface (BCI) applicat...
133
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ICA
2010
Springer
15 years 5 months ago
2010
Springer
In this paper, we propose a novel method for blind source separation (BSS) based on time-frequency sparseness (TF) that can estimate the number of sources and time-frequency masks,...
131
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
139
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JMLR
2010
15 years 2 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...