A tensor-based interpolation method for sparse spatio-temporal field data-Reference-Cited by-同舟云学术

A tensor-based interpolation method for sparse spatio-temporal field data

Published:2018-09-05 Issue:2 Volume:65 Page:307-325
ISSN:1449-8596
Container-title:Journal of Spatial Science
language:en
Short-container-title:Journal of Spatial Science

Author:

Li D. S.¹,Yang L.¹,Yu Z. Y.¹²,Hu Y.¹³,Yuan L. W.¹²

Affiliation:

1. Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing, China

2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, China

3. Institute of Computer Science and Technology, Nanjing Normal University, Nanjing, China

Funder

the National Natural Science Foundation of China project

Key Research and Development Project

Publisher

Informa UK Limited

Subject

Atmospheric Science,General Energy,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/14498596.2018.1509740

Reference51 articles.

1. Scalable tensor factorizations for incomplete data

2. Uncertainty as the overlap of alternate conditional distributions

3. Model-Based Compressive Sensing

4. An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations

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