报告人：Jonathan Wu, University of Windsor, Canada

报告题目：Extreme Learning Machines for Representation Learning

时间地点：2016年1月18日10:00-11:00，数计学院2号楼319

摘要：

Most of actual images such as human face image, industrial image and MRI image are high-dimensional data. The feature representation is mainly for the purpose of extracting useful information and of using this information to build non-supervised classifier/supervised classifier or other types of predictor because the image processing performance is often closely related to the feature data extracted and used.    In this talk, we propose a generalized ELM learning framework which is intended to extract the optimized features. Then, we extend and apply this method for such application fields as dimension reduction, image identification, and image reconstruction, etc. Compared with other feature representation methods, the experimental results show that the generalization performance of the proposed generalized learning framework is very advantageous.A brief overview of other related research activities in the presenter’s laboratory related to computer vision and machine learning is also provided. Applications have been extended towards intelligent transportation systems, surveillance and security, face and gesture recognition, vision-guided robotics, and bio-medical imaging, among others.

简介：

Jonathan Wu is a Professor of Electrical and Computer Engineering and a Tier 1 Canada Research Chair in Automotive Sensors and Information Systems since 2005. He is the founding director of the Computer Vision and Sensing Systems Laboratory at the University of Windsor, Canada. Prior to joining the University, Dr. Wu was a Senior Research Officer and Group Leader at the National Research Council of Canada (NRC). He has published one book in the area of 3D vision and more than 300 peer-reviewed papers (including 150 journal publications) in areas of computer vision, multimedia information processing, and intelligent systems. Dr. Wu is an Associate Editor for IEEE Transaction on Neural Networks and Learning Systems and the Journal of Cognitive Computation. Dr. Wu has served on editorial board for the IEEE Transaction on Systems, Man, and Cybernetics and the International Journal of Robotics and Automation. He has been on the Technical Program Committees and International Advisory Committees for many prestigious conferences.