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Machine Learning Events in February 2019

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CGI 2019 : Computer Graphics International

 Calgary, Alberta, Canada
When: Jun 17, 2019 - Jun 20, 2019 Submission Deadline: Feb 12, 2019
Computer Graphics International (CGI) 2019, the 36th annual conference, will be held in Calgary, Alberta, Canada, 17-20 June 2019. As Conference Co-Chairs of CGI’19, we sincerely invite you to make ...
COMPUTER GRAPHICS   IMAGE AND SIGNAL PROCESSING   MACHINE LEARNING   ROBOTICS AND VISION  

ICAIIC 2019 : Internation Conference on Artificial Intelligence in Information and Communication

 Okinawa, Japan
When: Feb 11, 2019 - Feb 12, 2019 Submission Deadline: Dec 1, 2018
Call for Papers for ICAIIC 2019 • Paper submission deadline: Dec. 1, 2018 (Extended) • *********************************************************************** • *** IEEE Technical Co...
AI   INFORMATION AND COMMUNICATION   MACHINE LEARNING   AI APPLICATIONS  



HPCaML 2019 : The First International Workshop on the Intersection of High Performance Computing and Machine Learning

 Washington DC
When: Feb 16, 2019 - Feb 16, 2019 Submission Deadline: Dec 21, 2018
The First International Workshop on the Intersection of • High Performance Computing and Machine Learning (HPCaML’19) • Held in conjunction with • the International Symposium on Co...
COMPUTER SCIENCE   MACHINE LEARNING   HIGH PERFORMANCE COMPUTING   ALGORITHMS  

SmartComp 2019 : 5th IEEE International Conference on Smart Computing

 Washington DC USA
When: Jun 12, 2019 - Jun 15, 2019 Submission Deadline: Feb 11, 2019
SMARTCOMP is the premier conference on smart computing. Smart computing is based on the synergistic combination of advances in Sensor-based technologies, the Internet of Things (IoT), Cyber-Physical S...
COMPUTER SCIENCE   BIG DATA ANALYTICS   SYSTEMS   MACHINE LEARNING  

KALSIMIS 2019 : Knowledge Acquisition and Learning in Semantic Interpretation of Medical Image Structures

 Prague, Czech Republic
When: Feb 22, 2019 - Feb 24, 2019 Submission Deadline: Dec 20, 2018
Current machine learning techniques are able to achieve spectacular results in automatic understanding of natural images whereas in the area of medical image analysis the progress is not that evident....
IMAGE ANALYSIS   COMPUTER VISION   MACHINE LEARNING   MEDICAL IMAGING  


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