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Dictionary Learning Algorithms for Sparse Representation

Algorithms for data-driven learning of domain-specific overcomplete dictionaries are developed to obtain maximum likelihood and maximum a posteriori dictionary estimates based on the use of Bayesian models with concave/Schur-concave (CSC) negative log priors. Such priors are appropriate for obtainin...

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Main Authors: Kreutz-Delgado, Kenneth, Murray, Joseph F., Rao, Bhaskar D., Engan, Kjersti, Lee, Te-Won, Sejnowski, Terrence J.
格式: Artigo
語言:Inglês
出版: 2003
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC2944020/
https://ncbi.nlm.nih.gov/pubmed/12590811
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1162/089976603762552951
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