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Conferences

CENPARMI members regularly present research papers at key conferences worldwide.

CENPARMI often participates in industry conferences such as:

  • International Conference on Pattern Recognition and
    Artificial Intelligence (ICPRAI)
  • Global Summit and Expo on Multimedia & Artificial Intelligence
  • International Conference on Pattern Recognition and Image Analysis (PRIA)
  • International Conference on Document Analysis and Recognition (ICDAR)
  • International Conference on Pattern Recognition (ICPR)
  • International Conference on Frontiers in Handwriting Recognition (ICFHR)

See our publications page for a complete list of our members' published work.


ICPRAI 2018 Conference

CENPARMI will host the first ICPRAI 2018, International Conference on Pattern Recognition and
Artificial Intelligence, May 14-17, 2018, Montreal, Canada, to mark the 30th Anniversary
of CENPARMI (Centre for Pattern Recognition and Machine Intelligence), Concordia University in Montreal, Canada. 

2017 Global Summit and Expo on Multimedia & Artificial Intelligence

CENPARMI is organizing the 3rd Global Summit and Expo on Multimedia & Artificial Intelligence,
July 20-21, 2017, Lisbon, Portugal. Details on the event and paper submission can be found here:

      http://multimedia.global-summit.com/ 

ICIAR 2017 

CENPARMI member Dr. Tien D. Bui will give a keynote presentation at the 14th International Conference on Image Analysis and Recognition (ICIAR 2017) July 5-7, 2017 – Montreal, Canada. The presentation will be from 10:40-11:30 on July 6. Program information can be found at: https://www.aimiconf.org/iciar17/programdetails.php

 

ANNPR workshops

CENPARMI hosted the 6th annual conference on Artificial Neural Networks in Pattern Recognition in October 2014, following the success of ANNPR workshops of 2003 (Florence), 2006 (Ulm), 2008 (Paris), 2010 (Cairo) and 2012 (Trento).

The series of ANNPR workshops act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss their latest research, results, and ideas in these areas.

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