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Low-Rank Data Completion With Very Low Sampling Rate Using Newton's Method.

, , and . IEEE Trans. Signal Process., 67 (7): 1849-1859 (2019)

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Low-Rank Data Completion With Very Low Sampling Rate Using Newton's Method., , and . IEEE Trans. Signal Process., 67 (7): 1849-1859 (2019)Power system state estimation with a limited number of measurements., , , and . CDC, page 672-679. IEEE, (2016)Promises of conic relaxation for contingency-constrained optimal power flow problem., , and . Allerton, page 1064-1071. IEEE, (2014)Fundamental conditions on the sampling pattern for union of low-rank subspaces retrieval., and . Ann. Math. Artif. Intell., 87 (4): 373-393 (2019)Structured Alternating Minimization for Union of Nested Low-Rank Subspaces Data Completion., and . IEEE J. Sel. Areas Inf. Theory, 1 (3): 632-644 (2020)A characterization of sampling patterns for low-rank multi-view data completion problem., , and . ISIT, page 1147-1151. IEEE, (2017)An approximation of the CP-rank of a partially sampled tensor., , and . Allerton, page 604-611. IEEE, (2017)A Characterization of Sampling Patterns for Union of Low-Rank Subspaces Retrieval Problem., and . ISAIM, (2018)Characterization Of sampling patterns for low-tt-rank tensor retrieval., and . Ann. Math. Artif. Intell., 88 (8): 859-886 (2020)Deterministic and Probabilistic Conditions for Finite Completability of Low-rank Multi-View Data., , and . CoRR, (2017)