Iterative hard thresholding for low-rank recovery from rank-one projections
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DOI: 10.1016/j.laa.2019.03.007
Abstract: A novel algorithm for the recovery of low-rank matrices acquired via compressive linear measurements is proposed and analyzed. The algorithm, a variation on the iterative hard thresholding algorithm for low-rank recovery, is designed to succeed… read more here.
Keywords: iterative hard; low rank; rank; rank recovery ... See more keywords