学　术

　　人力资源部教师发展中心开展“名师讲堂”系列活动，以定期邀请国内外知名专家学者、国家级教学名师等作专题报告，旨在加强广大师生的学术思想交流和碰撞，促进青年教师成长，开拓学生视野。

　　“名师讲堂”第21期活动特别邀请了AAAS、IEEE and SPIE FELLOW，南加利福尼亚大学教授C.-C. Jay Kuo主讲，欢迎广大师生参与。具体安排如下：

　　主　题：Deep Learning——Hype or Hope?

　　时　间：12月7日（周一）上午11：00-12：00

　　地　点：清水河图书馆视听阅览室（二楼E区B216）光影厅

　　主讲人：南加利福尼亚大学　C.-C. Jay Kuo教授

　　主持人：电子工程学院  朱策教授

　　主办单位：人力资源部教师发展中心

　　承办单位：电子工程学院

　　内容简介：

　　Deep learning has received a lot of attention in recent years due to its superior performance in several speech recognition and computer vision benchmarking datasets. A deep network can learn features (called deep features) automatically from training data. To understand deep learning, the first step is to understand these deep features. After a review of the short history of applying deep learning to vision applications, I will use two quantitative metrics to shed lights on trained deep features. They are the Gaussian confusion measure (GCM) and the cluster purity measure (CPM). The GCM is used to identify the discriminative ability of an individual feature while the CPM is used to analyze the group discriminative ability of a set of deep features. It is confirmed by experiments that these two metrics accurately reflect the discriminative ability of trained deep features. Further studies with the metrics as tools reveal important insights into the deep network, such as its good detection performance of some object classes that were considered difficult in the past. Finally, I will explain my view to the deep learning methodology-its pros, cons and future perspectives.

　　主讲人简介：

　　Dr. C.-C. Jay Kuo received his Ph.D. degree from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as Director of the Media Communications Laboratory and Dean’s Professor in Electrical Engineering-Systems. His research interests are in the areas of digital media processing, compression, communication and networking technologies. Dr. Kuo was the Editor-in-Chief for the IEEE Trans. on Information Forensics and Security in 2012-2014. He was the Editor-in-Chief for the Journal of Visual Communication and Image Representation in 1997-2011, and served as Editor for 10 other international journals. Dr. Kuo received the National Science Foundation Young Investigator Award (NYI) and Presidential Faculty Fellow (PFF) Award in 1992 and 1993, respectively. He was an IEEE Signal Processing Society Distinguished Lecturer in 2006, and the recipient of the Electronic Imaging Scientist of the Year Award in 2010 and the holder of the 2010-2011 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies. Dr. Kuo is a Fellow of AAAS, IEEE and SPIE. Dr. Kuo has guided 130 students to their Ph.D. degrees and supervised 25 postdoctoral research fellows. He is a co-author of about 240 journal papers, 880 conference papers, 30 patents and 13 books.

　　　　　　　　　　　　　　　　　　　人力资源部教师发展中心

　　　　　　　　　　　　　　　　　　　　　2015年12月2日