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cs.IT2010
Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit
Arvind Ganesh, John Wright, Xiaodong Li +2
We consider the problem of recovering a low-rank matrix when some of its entries, whose locations are not known a priori, are corrupted by errors of arbitrarily large magnitude. It…
cs.IT2010★ 63 cited
Stable Principal Component Pursuit
Zihan Zhou, Xiaodong Li, John Wright +2
In this paper, we study the problem of recovering a low-rank matrix (the principal components) from a high-dimensional data matrix despite both small entry-wise noise and gross spa…