From computer vision to short text understanding: Applying similar approaches into different disciplines-Reference-Cited by-同舟云学术

From computer vision to short text understanding: Applying similar approaches into different disciplines

Author:

Lin Jiayin¹,Sun Geng²,Shen Jun²,Pritchard David E.³,Yu Ping²,Cui Tingru⁴,Xu Dongming⁵,Li Li⁶,Beydoun Ghassan⁷

Affiliation:

1. College of Computer and Cyber Security, Fujian Normal University,Fuzhou,China,350108

2. School of Computing and Information Technology, University of Wollongong,Wollongong,Australia,2500

3. Research Lab of Electronics, Massachusetts Institute of Technology,Cambridge,MA,USA,02139

4. School of Computing and Information Systems, University of Melbourne,Melbourne,Australia,3010

5. UQ Business School, University of Queensland,Brisbane,Australia,4000

6. Faculty of Computer and Information Science, Southwest University,Chongqing,China,400715

7. School of Information System and Modelling, University of Technology Sydney,Sydney,Australia,2007

Funder

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Link

Reference28 articles.

1. Very deep convolutional networks for large-scale image recognition;simonyan;ArXiv Preprint,2014

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