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CMVIT-Ei 2017 : 2017 International Conference on Machine Vision and Information Technology (CMVIT 2017)--IEEE(CPS)-Final Call !

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Link: http://www.cmvit.org/
 
When Feb 17, 2017 - Feb 19, 2017
Where Singapore
Submission Deadline Nov 30, 2016
Categories    wireless communication   medical imaging   networks   information theory
 

Call For Papers

2017 International Conference on Machine Vision and Information Technology (CMVIT 2017)--Ei&Scopus--IEEE(CPS)--Final call for papers
Feb.17-19, 2017 │Singapore
Website: http://www.cmvit.org/

2017International Conference on Machine Vision and Information Technology (CMVIT 2017) will be held in Singapore during Feb.17-19, 2017. CMVIT 2017 is a not-to-be-missed opportunity that distills the most current knowledge on a rapidly advancing discipline in one conference. Join key researchers and established professionals in the field of Machine Vision and Information Technology as they assess the current state-of-the-art and roadmap crucial areas for future research.

●Publication and Indexing
All registered and presented papers will be included in the conference proceeding, pulished on IEEE(CPS), which will be indexed by Ei Compendex, CPCI, Scopus, IET and other academical databases. Selected papers with great extension will be recommended to publish in international journals.

●Topics (for more topics: http://www.cmvit.org/CFP.html)
Machine Vision, Image Processing, and Pattern Analysis
Computer Vision and Image Analysis
Information Theory and Information Systems
Pattern Recognition and Basic Technologies
Information processing methods and techniques

●Paper Submission
1, Papers can be submitted as PDF via EasyChair:
https://easychair.org/conferences/?conf=cmvit2017

2, If you have any questions, please feel free to contact us.

3, Contributions must be written in English and report on original, unpublished work not submitted for publication elsewhere. Submissions not adhering to the above specified constraints may be rejected without review.

●Contact Us
Ms. Suzy Shi
Email: cmvit@apise.org
Tel:+852-30506939( Hong Kong)

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