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Tensor Completion using Subspace Information

Li, Jingyang et al.
arXiv (All) · Papers
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methodology
Tensor completion has attracted significant attention in both applications and theoretical research. Under standard uniform sampling, existing polynomial-time guarantees generally require more observations than the number of degree of freedom, motivating the study of a possible statistical-to-comput
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