SpaRCS: Recovering Low-Rank and Sparse Matrices from Compressive Measurements
–Neural Information Processing Systems
We consider the problem of recovering a matrix M that is the sum of a low-rank matrix L and a sparse matrix S from a small set of linear measurements of the form y = A(M) = A(L + S).
Neural Information Processing Systems
Mar-14-2024, 22:42:10 GMT
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