A tensor framework for geosensor data forecasting of significant societal events-Reference-Cited by-同舟云学术

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A tensor framework for geosensor data forecasting of significant societal events

Published:2019-04 Issue: Volume:88 Page:27-37
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhou Lihua,Du Guowang,Wang Ruxin,Tao Dapeng^ORCID,Wang Lizhen,Cheng Jun,Wang Jing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Yunnan Province

Project of Innovative Research Team of Yunnan Province

University of Yunnan Province

Yunnan University

Yunnan Natural Science Funds

National Natural Science Foundation of Yunnan University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference47 articles.

1. Model-based forecasting of significant societal events;Ramakrishnan;TEEE Intell. Syst.,2015

2. Predictive analytics for complex IoT data streams;Akbar;IEEE Internet Things J.,2017

3. Ensemble manifold rank preserving for acceleration-based human activity recognition;Tao;IEEE Trans. Neural Netw. Learn. Syst.,2016

4. Collaborative intent prediction with real-time contextual data;Sun;ACM Trans. Inf. Syst.,2017

5. Multiview dimension reduction via Hessian multiset canonical correlations;Liu;Inf. Fusion,2018

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