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Tutorial on Kernel Machines

December 8, 2014
12:30 pmto1:30 pm

The Computational Intelligence / Systems, Man and Cybernetics Society Joint Chapter of the IEEE Canadian Atlantic Section wish to invite you to the following presentation.

Title of Talk: Tutorial on Kernel Machines
Speaker: Dr. Jason Rhinelander, Saint Mary’s University
Time: 12:30pm – 1:30pm, Monday, December 8th, 2014
Place: McNally Main Building • Room 301 • Saint Mary’s University • Halifax • NS • Canada.


Kernel machines have been successfully applied to solve many problems in the area of pattern recognition. The term “kernel machine” refers to a family of machine learning algorithms that can be used for classification, regression, clustering, principle component analysis and adaptive filtering. The kernel function is employed to map the input space to a high dimensional feature space which gives the kernel machine the ability to represent non-linear relationships in the input data.

The purpose of this tutorial is to provide a high-level introduction to some popular kernel machines and to present a road map for practitioners looking to learn more about this exciting and advancing field. Knowledge of a high-level programming language such as Matlab or Python is helpful, but not essential. Examples will be used to illustrate key concepts and suitable references to the existing literature will be given. Individuals working or interested in the area of kernel machines are invited to attend and there will be time for a group discussion after the presentation.

About the Speaker:

Dr. Jason Rhinelander received his PhD in Electrical and Computer Engineering from Carleton University in 2013. His doctoral research focused on online pattern recognition using kernel machines and resulted in multiple publications in IEEE conference proceedings and an IEEE journal article. Dr. Rhinelander received his M. Eng. and B. Eng. in Electrical Engineering from Memorial University in 2003 and 2001, respectively. His research interests are in the area of pattern recognition for security and defence applications.

Dr. Rhinelander is an assistant professor at Saint Mary’s University within the Division of Engineering. His research at Saint Mary’s is focused on developing novel methods in the area of machine learning and optimization applied to online and big data applications. Additionally, in 2013, Dr. Rhinelander founded Reiland Systems Limited in Halifax, Nova Scotia. Reiland Systems Limited provides computer system and software design consulting services to client companies and organizations. He also volunteers his time reviewing journal articles for Control and Intelligent Systems (ACTA Press) and for IEEE Transactions on Systems, Man, and Cybernetics, Part B Cybernetics. In September of 2014 Dr. Rhinelander was elected as chair of the IEEE Canadian Atlantic Section’s joint chapter on Computational Intelligence and Systems, Man, and Cybernetics.

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