Anil K. Jain教授来访


2012年11月29日,模式识别领域的权威学者Anil K. Jain教授应University of Notre Dame的邀请,做了关于聚类大数据(Clustering big data)的前瞻性报告。
Jain教授报告录像的在线链接: 。
离线文件下载:视频(500Mb);视频中ppt(2.5 Mb)。

附: Anil K. Jain教授个人简介:
Professor Anil K. Jain is a University Distinguished Professor in the Departments of Computer Science & Engineering, and Electrical & Computer Engineering at Michigan State University. He received a B.Tech. degree from IIT, Kanpur (1969) and M.S. and Ph.D. degrees from Ohio State University in 1970 and 1973, respectively. His research interests include pattern recognition, computer vision and biometric recognition. His articles on biometrics have appeared in Scientific American, Nature, IEEE Spectrum, Comm. ACM, IEEE Computer1,2, Proc. IEEE1,2, Encarta, Scholarpedia, and MIT Technology Review.
He has received a number of awards, including Guggenheim fellowship, Humboldt Research award, Fulbright fellowship, IEEE Computer Society Technical Achievement award (2003), IEEE W. Wallace McDowell award (2007), IAPR King-Sun Fu Prize (2008), and IEEE ICDM 2008 Research Contribution Award for contributions to pattern recognition and biometrics. He also received the best paper awards from the IEEE Trans. Neural Networks (1996) and the Pattern Recognition journal (1987, 1991, 2005). He served as the Editor-in-Chief of the IEEE Trans. Pattern Analysis and Machine Intelligence (1991-1994). He is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE. He has been listed among the “18 Indian Minds Who are Doing Cutting Edge Work” in the fields of science and technology.
Holder of six patents in the area of fingerprints (transferred to IBM in 1999), he is the author of several books, including Introduction to Biometrics (2011), Handbook of Biometrics (2007), Handbook of Multibiometrics (2006), Handbook of Face Recognition (first edition: 2005; second edition 2011), Handbook of Fingerprint Recognition (first edition: 2003, second edition: 2009) (received the PSP award from the Association of American Publishers), Markov Random Fields: Theory and Applications (1993), and Algorithms For Clustering Data (1988). ISI has designated him as a highly cited researcher (his h-index is 133). According to CiteSeer, his book, Algorithms for Clustering Data is ranked # 75 in the Most Cited Articles in Computer Science (over all times) and his paper Data Clustering: A Review (ACM Computing Surveys, 1999) is consistently ranked in the Top 10 Most Popular Magazine and Computing Survey Articles Downloaded.
He is serving as a member of the National Academies panel on Information Technology and previously served on panels on Whither Biometrics and Improvised Explosive Devices (IED). He also served as a member of the Defense Science Board.