A Novel Matrix Completion Model Based on the Multi-Layer Perceptron Integrating Kernel Regularization

Matrix completion has been widely used in image recovery and recommendation. The conventional matrix completion models based on multi-layer perceptron (MLP) only has local constraints on the observation data so that the completed matrix contains a lot of noise. Therefore, this paper proposes a novel...

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Bibliographic Details
Main Authors: Xuan Hu, Yongming Han, Zhiqiang Geng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9420060/