A framework for dynamic low-rank matrix recovery is introduced with error bounds from pooled neighboring observations and a fast iterative shrinkage thresholding algorithm.
Finally, with Theorem 1, the proof is finished
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Dynamic Matrix Recovery
A framework for dynamic low-rank matrix recovery is introduced with error bounds from pooled neighboring observations and a fast iterative shrinkage thresholding algorithm.