Statistical Learning and Pattern Analysis for Image and Video Processing - Xue, Jianru

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Auteur(s) : Xue, Jianru - Zheng, Nanning

Editeur : Springer-Verlag London Ltd.

Langue : Anglais

Parution : 01/03/2012

Format : Moyen, de 350g à 1kg

Nombre de pages : 384

Expédition : 581

Dimensions : 23.5 x 15.5 x 2.1

ISBN : 9781447126737

Résumé :
PThis textbook provides an overview of theories, methodologies, and recent developments in the field of statistical learning and statistical analysis for visual pattern modeling and computing. The book describes the solid theoretical foundation, provides a complete summary of the latest advances, and presents typical issues to be considered in making a real system for visual information processing. Features: presents the fundamentals of statistical pattern recognition and statistical learning; discusses pattern representation and classification; provides a broad survey of recent advances in statistical learning and pattern analysis; introduces the supervised learning of visual patterns in images; covers visual pattern analysis in video; includes an in-depth discussion of information processing in the cognitive process. This guide to intelligent visual information processing systems is rich in examples, and will provide researchers and graduate students with a self-contained survey of the topic./P

Biographie:

Badong Chen received the B.S. and M.S. degrees in Control Theory and Engineering from Chongqing University, Chongqing, China, in 1997 and 2003, respectively, and the Ph.D. degree in Computer Science and Technology from Tsinghua University, Beijing, China, in 2008. He was a Postdoctoral Associate at the University of Florida Computational NeuroEngineering Laboratory (CNEL) from 2010 to 2012. He visited the Nanyang Technological University (NTU), Singapore, as a visiting research scientist in 2015. He also served as a senior research fellow with The Hong Kong Polytechnic University in 2017. Currently he is a professor at the Institute of Artificial Intelligence and Robotics (IAIR), Xi'an Jiaotong University, Xi'an, China. His research interests are in signal processing, machine learning, artificial intelligence, neural engineering and robotics. He has published two books and over 200 papers in various journals and conference proceedings and his papers have got over 5500 citations according to Google Scholar. Dr. Chen is an IEEE Senior Member, a Technical Committee Member of IEEE SPS Machine Learning for Signal Processing (MLSP) and IEEE CIS Cognitive and Developmental Systems (CDS), and an associate editor of IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Neural Networks and Learning Systems and Journal of The Franklin Institute and has been on the editorial board of Entropy.

Lujuan Dang received the B.S. degree in information science and technology from Northwest University, Xi'an, China, in 2015, and the M.S. degree in electronic and information engineering from Southwest University, Chongqing, China, in 2018. She is currently pursuing the Ph.D. degree with the Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an. Her current interests focus on adaptive filtering and information theoretic learning. Nanning Zheng graduated from the Department of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China, in 1975, and received the M.S. degree in information and control engineering from Xi'an Jiaotong University in 1981 and the Ph.D. degree in electrical engineering from Keio University, Yokohama, Japan, in 1985. He is currently a professor and director of the Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University. His research interests include computer vision, pattern recognition and image processing, and hardware implementation of intelligent systems. Prof. Zheng became a member of the Chinese Academy of Engineering in 1999, and he is the Chinese Representative on the Governing Board of the International Association for Pattern Recognition. He is an IEEE Fellow and serves as an executive deputy editor of the Chinese Science Bulletin. Jose C. Principe is a Distinguished Professor of Electrical and Computer Engineering at the University of Florida where he teaches advanced signal processing, machine learning and artificial neural networks (ANNs). He is the Eckis Professor and the Founder and Director of the University of Florida Computational NeuroEngineering Laboratory (CNEL) www.cnel.ufl.edu. The CNEL Lab innovated signal and pattern recognition principles based on information theoretic criteria, as well as filtering in functional spaces. His secondary area of interest has focused in applications to computational neuroscience, Brain Machine Interfaces and brain dynamics. Dr. Principe is a Fellow of the AAAS, IEEE, NAI, AIMBE, and IAMBE. He received the Gabor Award from the INNS, the Shannon- Nyquist Technical Achievement Award from the IEEE Signal Processing Society, the Career Achievement Award from the IEEE EMBS and the Neural Network Pioneer Award of the IEEE CIS. He has more than 33 patents awarded and over 900 publicatio...

Sommaire:

Lujuan Dang received the B.S. degree in information science and technology from Northwest University, Xi'an, China, in 2015, and the M.S. degree in electronic and information engineering from Southwest University, Chongqing, China, in 2018. She is currently pursuing the Ph.D. degree with the Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an. Her current interests focus on adaptive filtering and information theoretic learning. Nanning Zheng graduated from the Department of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China, in 1975, and received the M.S. degree in information and control engineering from Xi'an Jiaotong University in 1981 and the Ph.D. degree in electrical engineering from Keio University, Yokohama, Japan, in 1985. He is currently a professor and director of the Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University. His research interests include computer vision, pattern recognition and image processing, and hardware implementation of intelligent systems. Prof. Zheng became a member of the Chinese Academy of Engineering in 1999, and he is the Chinese Representative on the Governing Board of the International Association for Pattern Recognition. He is an IEEE Fellow and serves as an executive deputy editor of the Chinese Science Bulletin. Jose C. Principe is a Distinguished Professor of Electrical and Computer Engineering at the University of Florida where he teaches advanced signal processing, machine learning and artificial neural networks (ANNs). He is the Eckis Professor and the Founder and Director of the University of Florida Computational NeuroEngineering Laboratory (CNEL) www.cnel.ufl.edu. The CNEL Lab innovated signal and pattern recognition principles based on information theoretic criteria, as well as filtering in functional spaces. His secondary area of interest has focused in applications to computational neuroscience, Brain Machine Interfaces and brain dynamics. Dr. Principe is a Fellow of the AAAS, IEEE, NAI, AIMBE, and IAMBE. He received the Gabor Award from the INNS, the Shannon- Nyquist Technical Achievement Award from the IEEE Signal Processing Society, the Career Achievement Award from the IEEE EMBS and the Neural Network Pioneer Award of the IEEE CIS. He has more than 33 patents awarded and over 900 publicatio...