A Novel Riemannian Metric Based on Riemannian Structure and Scaling Information for Fixed Low-Rank Matrix Completion-Reference-Cited by-同舟云学术

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A Novel Riemannian Metric Based on Riemannian Structure and Scaling Information for Fixed Low-Rank Matrix Completion

Published:2017-05 Issue:5 Volume:47 Page:1299-1312
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Mao Shasha,Xiong Lin^ORCID,Jiao Licheng,Feng Tian,Yeung Sai-Kit

Funder

National Basic Research Program (973 Program) of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/7898877/07522087.pdf?arnumber=7522087

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Rank-One Matrix Completion Using Sum of Outer Products;IEEE Transactions on Circuits and Systems for Video Technology;2023-09

2. Static and incremental robust kernel factorization embedding graph regularization supporting ill-conditioned industrial data recovery;Expert Systems with Applications;2023-03

3. Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023

4. C3N: content-constrained convolutional network for mural image completion;Neural Computing and Applications;2022-10-06

5. Fast Robust Matrix Completion via Entry-Wise $\ell_{0}$-Norm Minimization;IEEE Transactions on Cybernetics;2022

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