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Robust principal component analysis?

Published in Journal of the ACM • May 1, 2011
Authors:
Emmanuel J. Candès
,
Xiaodong Li
,
Yi Ma

Abstract

This article is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component individually? We prove that under some suitable assumptions, it is possible to recover both the low-rank and the sparse ...

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