Toward urban traffic scenarios and more: a spatio-temporal analysis empowered low-rank tensor completion method for data imputation-Reference-Cited by-同舟云学术

Toward urban traffic scenarios and more: a spatio-temporal analysis empowered low-rank tensor completion method for data imputation

Author:

Zhao Zilong¹,Tang Luliang¹,Fang Mengyuan¹,Yang Xue²,Li Chaokui³,Li Qingquan⁴

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. School of Geography and Information Engineering, China University of Geosciences, Wuhan, China

3. National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan, China

4. Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen, China

Funder

the Fundamental Research Funds for the Central Universities, and the National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

Reference61 articles.

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