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Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x ∈ ℝ(N) that are of high dimension N but are constrained to reside in a low-dimensional subregion of ℝ(N). The number of mixture components and their rank are inferred automatically from the data. Th...
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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2010
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3721352/ https://ncbi.nlm.nih.gov/pubmed/23894225 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TSP.2010.2070796 |
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