Analysis and simulations confirm that the said convex program can recover the unknowns for sufficiently low-rank and sparse enough components, along with a ...

Given the superposition of a low-rank matrix plus the product of a known fat compression matrix times a sparse matrix, the goal of this paper is to establish ...

Apr 30, 2012 · When the low-rank, sparse, and compression matrices are drawn from certain random ensembles, it is established that exact recovery is possible ...

Analysis and simulations confirm that the said convex program can recover the unknowns for sufficiently low-rank and sparse enough components, along with a ...

When the low-rank, sparse, and compression matrices are drawn from certain random ensembles, it is established that exact recovery is possible with high ...

Expressing a matrix as the sum of a low-rank matrix plus a sparse matrix is a flexible model capturing global and local features in data.

Exact recovery of low-rank plus compressed sparse matrices · M. MardaniG. MateosG. Giannakis. Mathematics, Computer Science. Symposium on Software Performance.

When the low-rank, sparse, and compression matrices are drawn from certain random ensembles, it is established that exact recovery is possible with high ...

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Apr 27, 2022 · Expressing a matrix as the sum of a low-rank matrix plus a sparse matrix is a flexible model capturing global and local features in data. This ...