Enhanced Low-Rank Matrix Approximation
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
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https://service.tib.eu/ldmservice/dataset/06e1b40f-c7e5-45f9-a89c-e1de7eeeba43
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资源简介：
This letter proposes to estimate low-rank matrices by formulating a convex optimization problem with non-convex regularization. We employ parameterized non-convex penalty functions to estimate the non-zero singular values more accurately than the nuclear norm.
提供机构：
TIB
创建时间：
2024-12-03
