主 题: Statistics in IT age
报告人: 郁彬 教授 (Univ of California at Berkeley)
时 间: 2011-12-15 14:00-15:00
地 点: 理科一号楼1114 （数学所活动）
Information technology advances have revolutionized data collection for all fields in science and engineering. Statistics is indispensable for extracting useful information from the massive and high-dim data available.
In this talk, I will give an overview of research in my group on statistical machine learning and interdisciplinary research at UC Berkeley. I will cover some theory for sparse modeling and data projects from neuroscience, remote sensing and text mining. In particular, I will show results from our collaborative work with the Gallant Lab on movie reconstruction from fMRI brian signals.
This work in Current Biology that has been selected as one of the best 50 inventions of 2011 by the TIME Magazine.
