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