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ICRV 2017 : IEEE--2017 3rd International Conference on Robotics and Vision (ICRV 2017)--Ei Compendex and Scopus

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Link: http://www.icrv.org/
 
When Jun 16, 2017 - Jun 19, 2017
Where Wuhan, China
Submission Deadline Feb 15, 2017
Categories    robotics   machine learning   artificial intelligence   control
 

Call For Papers

IEEE--2017 3rd International Conference on Robotics and Vision (ICRV 2017)--Ei Compendex and Scopus

Welcome to ICRV 2017
www.icrv.org

The 2017 3rd International Conference on Robotics and Vision (ICRV 2017) will be held June 16-19, 2017 in Wuhan, China, as the workshop of ACIRS 2017.

——————Conference Venue
The conference venue is at China University of Geosciences.

——————Paper Publication
All accepted papers of ICRV 2017 will be published in the International Conference Proceedings of ACIRS 2017 by IEEE, which will be indexed by *Ei Compendex and Scopus.*

News: *ACIRS 2016 conference proceedings has already been included in the IEEE Xplore.*


Conference Chair
Prof. Zhang Dan, York University, Canada
Prof. Huafeng Ding, China University of Geosciences, China


——————One Day Tour
We will arrange a one day tour in Wuhan on June 19, 2017.


Submission Methods
1. Full Paper (Presentation and publication)
2. Abstract (Presentation only)
Please log in the Electronic Submission System(https://www.easychair.org/conferences/?conf=icrv2017) or submit paper to: icrv@asr.org.

Contact us
Yuki Lian, Conference Secretary
E-mail: icrv@asr.org

Related Resources

IEEE-ICRV 2017   IEEE--2017 3rd International Conference on Robotics and Vision (ICRV 2017)--Ei Compendex and Scopus
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ICML 2017   34th International Conference on Machine Learning
ICCV 2017   International Conference on Computer Vision
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KDD 2017   Knowledge Discovery and Data Mining
ICCSSE 2017   2017 3rd International Conference on Control Science and Systems Engineering (ICCSSE 2017)--IEEE, Ei Compendex
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery