Abstract
In this paper, we consider low rank matrix recovery with impulsive noise. We first study the difference of nuclear norm and Frobenius norm model and present a stable recovery result based on the matrix restricted isometry property. Then we find the truncated difference of nuclear norm and Frobenius norm model can also stably recover low rank matrices with impulsive noise.
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