An Optimal Hybrid Nuclear Norm Regularization for Matrix Sensing With Subspace Prior Information
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DOI: 10.1109/access.2020.3009688
Abstract: Matrix sensing refers to recovering a low-rank matrix from a few linear combinations of its entries. This problem naturally arises in many applications including recommendation systems, collaborative filtering, seismic data interpolation and wireless sensor networks.… read more here.
Keywords: information; matrix sensing; nuclear norm; hybrid nuclear ... See more keywords