Machine Learning for Human Motion Analysis: Theory and Practice

Author:   Liang Wang ,  Li Cheng ,  Guoying Zhao
Publisher:   IGI Global
ISBN:  

9781605669007


Pages:   318
Publication Date:   30 January 2010
Format:   Hardback
Availability:   In Print   Availability explained
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Machine Learning for Human Motion Analysis: Theory and Practice


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Author:   Liang Wang ,  Li Cheng ,  Guoying Zhao
Publisher:   IGI Global
Imprint:   Medical Information Science Reference
Dimensions:   Width: 21.60cm , Height: 1.90cm , Length: 28.00cm
Weight:   1.186kg
ISBN:  

9781605669007


ISBN 10:   1605669008
Pages:   318
Publication Date:   30 January 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Liang Wang obtained the BEng and MEng degrees in electronic engineering from Anhui University and PhD in pattern recognition and intelligent system from National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. From July 2004 to January 2007, he worked at Imperial College London (UK), and at Monash University (Australia), respectively. He is currently working as a research fellow at The University of Melbourne (Australia). His main research interests include pattern recognition, machine learning, computer vision, and data mining. He has widely published at IEEE TPAMI, TIP, TKDE, TCSVT, TSMC, CVIU, PR, CVPR, ICCV, and ICDM. He serves for many major international journals and conferences as AE, reviewer, or PC member. He is currently an associate editor of IEEE TSMC-B, IJIG and Signal Processing. He is a co-editor of four books to be published by IGI Global and Springer, and a guest editor of three special issues for the international journals PRL, IJPRAI and IEEE TSMC-B, as well as co-chairing a special session and three workshops for VM'08, MLVMA'08 and THEMIS'08. Xin Geng received the BSc and MSc degrees in computer science from Nanjing University (China), and the PhD degree in computer science from Deakin University (Australia). He is currently an associate professor in the School of Computer Science and Engineering, Southeast University (China). His research interests include computer vision, pattern recognition, and machine learning. He has published over twenty refereed papers in these areas, including those published in prestigious journals and top international conferences. He has been a guest editor of several international journals, such as PRL and IJPRAI. He has served as a program committee member for a number of international conferences, such as PRICAI'08, AI'08, MMSP'08, CIT'08, and IEEE IRI'09. He is also a frequent reviewer for various international journals and conferences.

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