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WCCI 2012 : Machine Learning for Computer Vision at 2012 IEEE World Congress on Computational Intelligence (WCCI 2012) | |||||||||||||
Link: https://sites.google.com/site/ijcnn12mlcv/ | |||||||||||||
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Call For Papers | |||||||||||||
Introduction to Special Session:
There is a great interest of machine learning algorithms among the computer vision researchers. Many machine learning algorithms have successfully demonstrated the capability of solving real world problems in computer vision field. The purpose of the special session on Machine Learning for Computer Vision is to address the latest developments of machine learning algorithms for numerous applications in the computer vision. This session aims to bring together machine learning and computer vision researchers to demonstrate latest progress, emphasize new research questions and collaborate for promising future research direction. Topics but not limited to: Neural learning algorithms, Hybrid learning algorithms, Support vector machines, Statistical learning, Reinforcement learning, Applications in image processing, Pattern recognition, Video processing, Medical imaging Special Session Organizers: Dr. Siddhivinayak Kulkarni (Sid), University of Ballarat, Australia Prof. Brijesh Verma, CQ University, Australia Prof. Henry Selvaraj, University of Nevada Las Vegas, USA |
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