A Flexible and Robust Tensor Completion Approach for Traffic Data Recovery With Low-Rankness-Reference-Cited by-同舟云学术

A Flexible and Robust Tensor Completion Approach for Traffic Data Recovery With Low-Rankness

Published:2023 Issue: Volume: Page:1-15
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Hu Liyang¹^ORCID,Jia Yuheng²^ORCID,Chen Weijie¹^ORCID,Wen Longhui³,Ye Zhirui¹^ORCID

Affiliation:

1. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, China

2. Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and the School of Computer Science and Engineering, Southeast University, Nanjing, China

3. Intelligent Transportation System Research Center, Southeast University, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

ZhiShan Youth Scholar Program from Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/10273205.pdf?arnumber=10273205

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