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Shannon's Information Measures and Markov Structures
Date: 2017/4/27             Browse: 203
Speaker:  Raymond Yeung
Time:        Apr 27, 3:30pm – 4:30pm.
Location: Room1A-200, SIST Building
Inviter:    Prof.Yanlin Geng
Abstract:
In the 1990’s, the theory of I-Measure was developed as a full-fledged set-theoretic interpretation of Shannon’s information measures. In this talk, we first give an overview of this theory. Then we discuss a set of tools developed on the I-Measure that is most suitable for studying a special Markov structure called full conditional mutual independence (FCMI), which turns out to be a building block for Markov random fields. One application of these tools is to show that the I-Measure of a Markov chain (a special case of a Markov random field) exhibits a very simple structure and is always nonnegative.
In the last part of the talk, we discuss some recent results along this line: i. a characterization of the Markov structure of a subfield of a Markov random field; ii. the Markov chain being the only Markov random field such that the I-Measure is always nonnegative.
Bio:
Raymond Yeung received the BS, MEng and PhD degrees in electrical engineering from Cornell University. He is currently Choh-Ming Li Professor of Information Engineering at CUHK. As a cofounder of the field of network coding, he has been serving as Co-Director of the Institute of Network Coding since 2010.He was a recipient of the Croucher Senior Research Fellowship for 2000/01, the Best Paper Award of iC3S 2004, the 2005 IEEE Information Theory Society Paper Award, the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation in 2007, and the 2016 IEEE Eric E. Sumner Award. In 2015, he was named an Outstanding Overseas Chinese Information Theorist by the China Information Theory Society.He held several positions in Xidian University, BUPT and Tsinghua University. He is currently a Guest Professor of Southeast University. He is a Fellow of the IEEE, Hong Kong Academy of Engineering Sciences, and Hong Kong Institution of Engineers.

SIST-Seminar 17013