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# A Simplified Approach to Recovery Conditions for Low Rank Matrices

international symposium on information theory, (2011): 2318-2322

EI

Recovering sparse vectors and low-rank matrices from noisy linear measurements has been the focus of much recent research. Various reconstruction algorithms have been studied, including $\ell_1$ and nuclear norm minimization as well as $\ell_p$ minimization with $p<1$. These algorithms are known to succeed if certain conditions on the m...更多

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