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The Wonders of Technology May 4-7, 2008
Sheraton Fallsview
Niagara Falls
Ontario, Canada

Keynote 1: Decision Aggregation and Cooperative Training in Classifier Ensembles

Monday, May 5, 2008
Oakes North Ballroom

Presented by

Prof. Mohamed Kamel
Canada Research Chair in Co-operative Intelligent Systems
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada


When solving large and complex problems many of the existing monothetic models don't scale up. Research on cooperative, intelligent systems, involves studying, developing and evaluating architectures and methods to solve complex problems using adaptive and cooperative systems. These systems may range from simple software modules (such as a clustering or a classification algorithm) to physical systems (such as autonomous robots, machines or sensors). The main characteristic of these systems is that they are adaptive and cooperative. By adaptive, it is meant that the systems have a learning ability that makes them adjust their behaviour or performance to cope with changing situations. The systems are willing to cooperate together to solve complex problems or to achieve common goals. In this talk, I review multiple classifiers decision combining methods and categorize them in terms of their dependence on the input data as well as their ability to share data and decisions. I will explain different fusion architectures, modes of interactions among classifier ensembles and modules and strategies for combining the decisions. Performance of these architectures and implications on their implementations will be presented. I will also discuss the application of these models to a number of classification problems.

Presenter's Biography

MOHAMED S. KAMEL received the B.Sc. (Hons) EE (Alexandria University), M.A.Sc (McMaster University), Ph.D (University of Toronto). He joined the University of Waterloo, Canada in 1985 where he is at present Professor and Director of the Pattern Analysis and Machine Intelligence Laboratory at the Department of Electrical and Computer Engineering. Professor Kamel holds Canada Research Chair in Cooperative Intelligent Systems. Dr. Kamel's research interests are in Computational Intelligence, Pattern Recognition, Machine Learning and Cooperative Intelligent Systems. He has authored and co-authored over 350 papers in journals and conference proceedings, 10 edited volumes, 2 patents and numerous technical and industrial project reports. Under his supervision, 74 Ph.D and M.A.SC students have completed their degrees. He is the Editor-in-Chief of the International Journal of Robotics and Automation, Associate Editor of 5 international journals: the IEEE SMC, Part A, Pattern Recognition Letters, Cognitive Neurodynamics, Pattern Recognition, and Computational Intelligence. He is also member of the editorial advisory board of the International Journal of Image and Graphics and the Intelligent Automation and Soft Computing journal. Dr. Kamel is member of ACM, PEO, Fellow of IEEE, Fellow of the Engineering Institute of Canada (EIC) and Fellow of the Canadian Academy of Engineering (CAE). He is member of the board of directors and co-founder of Virtek Vision Inc. of Waterloo.

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