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Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurements.

作者信息

Carin Lawrence, Baraniuk Richard G, Cevher Volkan, Dunson David, Jordan Michael I, Sapiro Guillermo, Wakin Michael B

出版信息

IEEE Signal Process Mag. 2011 Mar 1;28(2). doi: 10.1109/MSP.2010.939733.

DOI:10.1109/MSP.2010.939733
PMID:24363544
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3869461/
Abstract
摘要

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本文引用的文献

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Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds.使用因子分析器的非参数混合在流形上的压缩感知:算法与性能界限
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2
Sparse representation for color image restoration.用于彩色图像恢复的稀疏表示。
IEEE Trans Image Process. 2008 Jan;17(1):53-69. doi: 10.1109/tip.2007.911828.
3
Mixtures of probabilistic principal component analyzers.概率主成分分析器的混合模型
Neural Comput. 1999 Feb 15;11(2):443-82. doi: 10.1162/089976699300016728.