Special issue on subspace and manifold learning for image and video indexing and search

TY - JOUR

T1 - Special issue on subspace and manifold learning for image and video indexing and search

AU - Fu, Yun

AU - Hua, Xian Sheng

AU - Li, Zhu

AU - Katsaggelos, Aggelos K.

AU - Huang, Thomas S.

N1 - Thomas S. Huang (S’61–M’63–SM’76–F’79–LF’01) received the B.S. degree in electrical engineering from National Taiwan University, Taipei, Taiwan, and the M.S. and Sc.D. degrees in electrical engineering from Massachusetts Institute of Technology (MIT), Cambridge. He was a Faculty Member with the Department of Electrical Engineering, MIT, from 1963 to 1973 and a Faculty Member with the School of Electrical Engineering and the Director of its Laboratory for Information and Signal Processing, Purdue University, West Lafayette, IN, from 1973 to 1980. In 1980, he joined the University of Illinois, Urbana, where he is currently the William L. Everitt Distinguished Professor of Electrical and Computer Engineering, a Research Professor with the Coordinated Science Laboratory, the Head of the Image Formation and Processing Group, Beckman Institute for Advanced Science and Technology, and the Cochair of the institute’s major research theme: human–computer intelligent interaction. He is a Founding Editor of the International Journal of Computer Vision, Graphics, and Image Processing and the Editor of the Springer Series in Information Sciences (Springer). He has published 20 books and over 500 papers in network theory, digital filtering, image processing, and computer vision. His professional interest includes the broad area of information technology, particularly the transmission and processing of multidimensional signals. Dr. Huang is a member of the National Academy of Engineering, a foreign member of the Chinese Academies of Engineering and Science, and a fellow of the International Association of Pattern Recognition and the Optical Society of America. He has received a Guggenheim Fellowship and a fellowship from the Japan Association for the Promotion of Science. He was the recipient of an A. von Humboldt Foundation Senior U.S. Scientist Award, the IEEE Signal Processing Society’s Technical Achievement Award in 1987, the Society Award in 1991, the IEEE Third Millennium Medal in 2000, the Honda Lifetime Achievement Award for his “contributions to motion analysis” in 2000, the IEEE Jack S. Kilby Medal in 2001, the King-Sun Fu Prize from the International Association of Pattern Recognition in 2002, and the Pan Wen-Yuan Outstanding Research Award. Yun Fu (S’07–M’08–SM’11) received the B.Eng. degree in information engineering and the M.Eng. degree in pattern recognition and intelligence systems from Xi’an Jiaotong University, Xi’an, China, in 2001 and 2004, respectively, and the M.S. degree in statistics and the Ph.D degree in electrical and computer engineering from the University of Illinois, Urbana, in 2007 and 2008, respectively. He was a research intern with Mitsubishi Electric Research Laboratories, Cambridge, MA, in summer 2005 and with the Multimedia Research Laboratory, Motorola Laboratories, Schaumburg, IL, in summer 2006. In 2008, he joined BBN Technologies, Cambridge, as a Scientist. In the spring of 2009, he was a part-time Lecturer with the Department of Computer Science, Tufts University, Medford, MA. Since 2010, he has been an Assistant Professor with the Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo. His research interests include interdisciplinary research in machine learning, social media analytics, human–computer interaction, and cyber-physical systems. Dr. Fu is a Life Member of the Association for Computing Machinery, Society of Photo-Optical Instrumentation Engineers, Association for the Advancement of Artificial Intelligence, and Institute of Mathematical Statistics and a Beckman Graduate Fellow in 2007–2008. He is the Associate Editor for IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. He was the recipient of the 2002 Rockwell Automation Master of Science Award, Edison Cups of the 2002 GE Fund Edison Cup Technology Innovation Competition, the 2003 Hewlett-Packard Silver Medal and Science Scholarship, the 2007 Chinese Government Award for Outstanding Self-financed Students Abroad, the 2007 IEEE International Conference on Image Processing Best Paper Award, the 2007-2008 Beckman Graduate Fellowship, the 2008 M. E. Van Valkenburg Graduate Research Award, the ITESOFT Best Paper Award of the 2010 International Association for Pattern Recognition International Conferences on the Frontiers of Handwriting Recognition, the 2010 Google Faculty Research Award, the 2011 IEEE International Conference of Multimedia and Expo Quality Reviewer, the Large Scale Visual Analytics (LSVA) Best Paper Award of the 2011 IEEE International Conference on Data Management Workshop on LSVA, and the 2011 IC Postdoctoral Research Fellowship Award.

PY - 2012/4

Y1 - 2012/4

UR - https://www.scopus.com/pages/publications/84862830281

UR - https://www.scopus.com/pages/publications/84862830281#tab=citedBy

U2 - 10.1109/TSMCB.2011.2179292

DO - 10.1109/TSMCB.2011.2179292

M3 - Editorial

C2 - 22262685

AN - SCOPUS:84862830281

SN - 1083-4419

VL - 42

SP - 294

EP - 297

JO - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

JF - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

IS - 2

M1 - 6129536

ER -