Poisson Matrix Recovery and Completion

We extend the theory of low-rank matrix recovery and completion to the case when Poisson observations for a linear combination or a subset of the entries of a matrix are available, which arises in various applications with count data. We consider the usual matrix recovery formulation through maximum...

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Veröffentlicht in:	IEEE transactions on signal processing 2016-03, Vol.64 (6), p.1609-1620
Hauptverfasser:	Cao, Yang, Xie, Yao
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation algorithms Compressed sensing Estimation information theoretic bounds low-rank matrix recovery matrix completion Noise measurement Poisson noise Random variables Signal to noise ratio Sparse matrices Upper bound
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