报告人：郭庆华
报告题目：Applications of Graphical Model Based Inference and Learning
报告时间：1月3日 4:00pm
报告地点：
报告简介：
Graphical Models are a way of representing and visualizing the dependence structure of (large collections of) random variables with complex interactions, and they allow us to define general message passing algorithms, which run in the graphs to achieve efficient probabilistic inference and learning by exploiting the structure of the graph representations. Graphical Models are a powerful tool that finds numerous applications in computer vision, communications, language processing, etc. In this talk, I will give a brief introduction to the graphical models and our recent research on graphical model based applications.
报告人简介：
郭庆华，博士，澳大利亚首届优秀青年基金获得者，IEEE高级会员，于2008年获香港城市大学博士学位，现任职澳大利亚伍伦贡大学 （University of Wollongong）电气、计算机和通信工程学院副教授和西澳大利亚大学 (University of Western Australia) 工程学院兼职副教授。郭庆华教授的研究领域包括控制科学与工程、信号处理、通信和机器学习等。