Overview: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 the 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 computer vision.
This Special 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:The theme of the session is the application of machine learning to computer vision. The list of topics includes and is not restricted to the following:
- Neural Learning
- Deep Learning
- Feature Extraction, Selection and Learning
- Metric Learning
- Representation Learning
- Probabilistic Graphical Models
- Manifold Learning
- Hybrid Learning
- Supervised Learning
- Unsupervised Learning
- Support Vector Machines
- Statistical Learning and Reinforcement Learning for Image Processing
- Document Processing and Analysis
- Pattern Recognition Algorithms
- Audio/Video Processing and Analysis
- Medical Imaging
- Object Recognition
- Face Recognition and Image Analysis
- Real World Intelligent Computer Vision Applications
Organising Chairs:Professor Brijesh Verma
School of Engineering and Technology
Central Queensland University
Professor Mohammed Bennamoun
School of Computer Science and
Software Engineering University of Western Australia
Submission Guidelines:Paper should be submitted via IEEE WCCI 2016 paper submission system. Please select this session during the submission. Please refer to the instructions from WCCI 2016 website.
Important Dates:Please refer to the WCCI 2016 website.
Short Biographies:Brijesh Verma is a Professor and the Director of the Centre for Intelligent Systems (CIS) at Central Queensland University (CQU), Australia. He joined Central Queensland University in August 2003 as an Associate Professor and was promoted to Professor in 2008. Prior to joining Central Queensland University, he was a Senior Lecturer (2001-2003) and a Lecturer (1996-2000) at Griffith University, Australia. His main research interests include Computational Intelligence and Pattern Recognition. He has published 13 books/edited books, 9 book chapters and over 150 papers in journals and conference proceedings. He has served on the organizing and program committees of over fifty national and international conferences including IEEE WCCI 2012 and IEEE IJCNN 2015. He was the Special Sessions Chair at IEEE World Congress on Computational Intelligence 2012 in Brisbane, Australia. He is serving on the editorial boards of six international journals including Editor-in-Chief of International Journal of Computational Intelligence and Applications (IJCIA). He is a Senior Member of IEEE. He was the Chair of IEEE Computational Intelligence Society's Queensland Chapter (2007-2008) and under his leadership the Chapter won IEEE CIS 2009 Outstanding Chapter Award.
Mohammed Bennamoun is a Winthrop Professor at the University of Western Australia (UWA), Australia. He received his M.Sc. from Queen's University, Kingston, Canada in the area of Control Theory, and his PhD from Queen's /QUT in Brisbane, Australia in the area of Computer Vision. He lectured Robotics at Queen's, and then joined QUT in 1993 as an Associate Lecturer. He then became a Lecturer in 1996 and a Senior Lecturer in 1998 at QUT. He was also the Director of a research Centre from 1998-2002. In Jan. 2003, he joined the Department of Computer Science and Software Engineering at The University of Western Australia (UWA) as an Associate Professor and was promoted to Professor in 2007. He served as the Head of the School of Computer Science and Software Engineering at UWA for five years (February 2007-March 2012). He was an Erasmus Mundus Scholar and Visiting Professor in 2006 at the University of Edinburgh. He was also Visiting Professor at CNRS (Centre National de la Recherche Scientifique) and Telecom Lille1, France in 2009, the Helsinki University of Technology in 2006, and the University of Bourgogne and Paris 13 in France in 2002-2003. He is the co-author of the book "Object Recognition: Fundamentals and Case Studies", Springer-Verlag, 2001. He won the "Best Supervisor of the Year" Award at QUT. He also received an award for research supervision at UWA in 2008. He published over 200 journal and conference papers. He served as a guest editor for a couple of special issues in International journals, such as the International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI). He was selected to give conference tutorials at the European Conference on Computer Vision (ECCV) and the International Conference on Acoustics Speech and Signal Processing (IEEE ICASSP). He organized several special sessions for conferences; including a special session for the IEEE International Conference in Image Processing (IEEE ICIP). He was on the program committee of many conferences e.g. 3D Digital Imaging and Modeling (3DIM) and the International Conference on Computer Vision. He also contributed in the organisation of many local and international conferences. His areas of interest include control theory, robotics, obstacle avoidance, object recognition, artificial neural networks, signal/image processing and computer vision.