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Welcome to the official website of 2018 International Conference on Computing and Pattern Recognition (ICCPR 2018)! Computing and Pattern Recognition contribute greatly in the advancement of technologies. Rapid technological advancements can be achieved through continuous research. Hong Kong Chemical, Biological & Environmental Engineering Society (HKCBEES) and Biology and Bioinformatics Society (BBS) is going to organize the 2018 International Conference on Computing and Pattern Recognition (ICCPR 2018) during June 23-25, 2018 in Harbin Institute of Technology, Shenzhen, China. The main objective is to create an effective platform for researchers and technical experts to share recent ideas, innovations and problem solving techniques in the vast areas of Computing and Pattern Recognition. It will be a great opportunity for both researchers and industrial communities to meet, discuss and share their research outcomes. Prospective authors are invited to submit their original technical papers for presentation at the conference and publications in the conference proceedings.

 

• Prof. David Zhang
• Hong Kong Polytechnic University, Hong Kong
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• IEEE and IAPR Fellow

• Prof. Cheng-Lin Liu
• Chinese Academy of Sciences, China
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• Director of NLPR; IEEE and IAPR Fellow

To be published in the ICCPR 2018 Conference Proceedings, the author of an accepted paper is required to register for the conference and present his/her paper. All papers in the ICCPR 2018 will be published in ACM Conference Proceedings (ISBN: 978-1-4503-6471-3), which will be archived in the ACM Digital Library, indexed by Ei Compendex and Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

 

Some selected refereed papers describing the state-of the-art topics will be considered for publication in the International Journal of Machine Learning and Computing (IJMLC) (ISSN: 2010-3700), which will be indexed by Scopus, EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library, and DOAJ.