Monte Carlo methods for adaptive sparse approximations of time-series
This paper deals with adaptive sparse approximations of time-series. The work is based on a Bayesian specification of the shift-invariant sparse coding model. To learn approximations for a particular class of signals, two different learning strategies are discussed. The first method uses a gradient...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2007-09.
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| Subjects: | |
| Online Access: | Get fulltext |