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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Autores principales: | , , , , |
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Formato: | article |
Lenguaje: | EN |
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IEEE
2021
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Acceso en línea: | https://doaj.org/article/59df01a50f12415ab26bdb8440bc89bf |
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