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Matrix Completion Based on Low-Rank and Local Features Applied to Images Recovery and Recommendation Systems

Recent advances have shown that the challenging problem of matrix completion arises from real-world applications, such as image recovery, and recommendation systems. Existing matrix completion methods utilize the low-rank property of sparse matrices to fill missing entries, which essentially exploit...

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Príomhchruthaitheoirí: Ying Zhang, Kai Xu, Songfeng Liang, Chen Zhao
Formáid: Artigo
Teanga:Inglês
Foilsithe / Cruthaithe: IEEE 2022-01-01
Sraith:IEEE Access
Ábhair:
Rochtain ar líne:https://ieeexplore.ieee.org/document/9878118/
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