Matrix Completion Using Graph Total Variation Based on Directed Laplacian Matrix

被引：0
作者：
Alireza Ahmadi
Sina Majidian
Mohammad Hossein Kahaei
机构：
[1] Iran University of Science & Technology,School of Electrical Engineering
来源：
Circuits, Systems, and Signal Processing | 2021年 / 40卷
关键词：
Matrix completion; Graph theory; Laplacian matrix; Total variation; Singular value decomposition;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We propose two graph matrix completion algorithms called GMCM-DL and GMCR-DL, by employing a new definition of Graph Total Variation for matrices based on the directed Laplacian Matrix. We show that these algorithms outperform their peers in terms of RMSEs for both cases of uniform and row observations.
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页码：3099 / 3106
页数：7
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