The Chinese University of Hong Kong
Department of Computer Science and Engineering


Title: Geometric reasoning in Machine Learning
Date: June 14, 2017 (Wednesday)
Time: 4:00 p.m. - 5:30 p.m.
Venue: Room 121, 1/F, Ho Sin-hang Engineering Building,
The Chinese University of Hong Kong,
Shatin, N.T.
Speaker: Prof. Daniel Cohen-Or
School of Computer Science
Tel Aviv University, Israel



In recent years, computer graphics has been enjoyed and benefitted from advances in machine learning, and more and more graphics techniques are based on learning techniques. The question is whether machine learning techniques that are applied to geometric problem can also benefit from geometric reasoning. In this talk, I will present two novel machine learning techniques that are based on geometric reasoning, namely non-parametric clustering, and multi-dimensional scaling, and show how they are applied in graphical applications.



Daniel Cohen-Or is a professor in the School of Computer Science. He received his B.Sc. cum laude in both mathematics and computer science (1985), and M.Sc. cum laude in computer science (1986) from Ben-Gurion University, and Ph.D. from the Department of Computer Science (1991) at State University of New York at Stony Brook. He received the 2005 Eurographics Outstanding Technical Contributions Award. He was sitting on the editorial board of a number of international journals, and a member of many the program committees of several international conferences. He is now on the editorial board of ACM Transactions on Graphics. His research interests are in computer graphics, in particular, synthesis, processing and modeling techniques. His main interest right now is in few areas: image synthesis, motion and transformations, shapes and surfaces, analysis and reconstruction.


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