Guaranteed Tensor Recovery Fused Low-rankness and Smoothness-Reference-Cited by-同舟云学术

Guaranteed Tensor Recovery Fused Low-rankness and Smoothness

Published:2023-09-01 Issue:9 Volume:45 Page:10990-11007
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Wang Hailin¹^ORCID,Peng Jiangjun¹^ORCID,Qin Wenjin²^ORCID,Wang Jianjun²^ORCID,Meng Deyu³^ORCID

Affiliation:

1. School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi, China

2. School of Mathematics and Statistics, Southwest University, Chongqing, China

3. School of Mathematics and Statistics and Ministry of Education Key Lab of Intelligent Networks and Network Security, Xi'an Jiaotong University, Xian, Shaanxi, China

Funder

National Key R&D Program of China

Fundo para o Desenvolvimento das Ciências e da Tecnologia

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10210213/10078018.pdf?arnumber=10078018

Reference78 articles.

1. Factorization strategies for third-order tensors

2. Total Nuclear Variation and Jacobian Extensions of Total Variation for Vector Fields

3. Tensor ring decomposition;zhao,2016

4. Total Generalized Variation in Diffusion Tensor Imaging

5. Exact Tensor Completion Using t-SVD

Cited by 31 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. Joint local smoothness and low-rank tensor representation for robust multi-view clustering;Pattern Recognition;2025-01

2. A generalized two-stage tensor denoising method based on the prior of the noise location and rank;Expert Systems with Applications;2024-12

3. Cyclic tensor singular value decomposition with applications in low-rank high-order tensor recovery;Signal Processing;2024-12

4. Tensor nonconvex unified prior for tensor recovery;Information Sciences;2024-10

5. A robust low‐rank tensor completion model with sparse noise for higher‐order data recovery;IET Image Processing;2024-08-16