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Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images
Nonparametric Bayesian methods are considered for recovery of imagery based upon compressive, incomplete, and/or noisy measurements. A truncated beta-Bernoulli process is employed to infer an appropriate dictionary for the data under test and also for image recovery. In the context of compressive se...
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| Main Authors: | , , , , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2011
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3601051/ https://ncbi.nlm.nih.gov/pubmed/21693421 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TIP.2011.2160072 |
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