Hybrid Matrix Completion Model for Improved Images Recovery and Recommendation Systems

Matrix completion methods have been widely applied in images recovery and recommendation systems. Most of them are only based on the low-rank characteristics of matrices to predict the missing entries. However, these methods lack consideration of local information. To further improve the performance...

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Auteurs principaux: Kai Xu, Ying Zhang, Zhurong Dong, Zhanyu Li, Bopeng Fang
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/59df01a50f12415ab26bdb8440bc89bf
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