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A01=Fei-Yue Wang
A01=Wenbo Zheng
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Age Group_Uncategorized
Author_Fei-Yue Wang
Author_Wenbo Zheng
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Category1=Non-Fiction
Category=UYQP
Category=UYQV
COP=United States
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Language_English
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Price_€100 and above
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Computational Knowledge Vision: The First Footprints

English

By (author): Fei-Yue Wang Wenbo Zheng

Computational Knowledge Vision: The First Footprints presents a novel, advanced framework which combines structuralized knowledge and visual models. In advanced image and visual perception studies, a visual model's understanding and reasoning ability often determines whether it works well in complex scenarios. This book presents state-of-the-art mainstream vision models for visual perception. As computer vision is one of the key gateways to artificial intelligence and a significant component of modern intelligent systems, this book delves into computer vision systems that are highly specialized and very limited in their ability to do visual reasoning and causal inference. Questions naturally arise in this arena, including (1) How can human knowledge be incorporated with visual models? (2) How does human knowledge promote the performance of visual models? To address these problems, this book proposes a new framework for computer visioncomputational knowledge vision. See more
Current price €160.54
Original price €168.99
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A01=Fei-Yue WangA01=Wenbo ZhengAge Group_UncategorizedAuthor_Fei-Yue WangAuthor_Wenbo Zhengautomatic-updateCategory1=Non-FictionCategory=UYQPCategory=UYQVCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 01 Sep 2024

Product Details
  • Weight: 450g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Sep 2024
  • Publisher: Elsevier Science Publishing Co Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780443216190

About Fei-Yue WangWenbo Zheng

Wenbo Zheng received his bachelor degree in software engineering from Wuhan University of Technology Wuhan China in 2017. He received his Ph.D. degree in computer science and technology from the Faculty of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China in 2021. He is currently an Associate Professor at the School of Computer and Artificial Intelligence Wuhan University of Technology. His research interests include computer vision and machine learning. Fei-Yue Wang received his Ph.D. degree in computer and systems engineering from the Rensselaer Polytechnic Institute Troy NY USA in 1990. He joined The University of Arizona in 1990 and became a Professor and the Director of the Robotics and Automation Laboratory and the Program in Advanced Research for Complex Systems. In 1999 he founded the Intelligent Control and Systems Engineering Center at the Institute of Automation Chinese Academy of Sciences (CAS) Beijing China and in 2002 was appointed as the Director of the Key Laboratory of Complex Systems and Intelligence Science CAS. In 2011 he became the State Specially Appointed Expert and the Director of the State Key Laboratory for Management and Control of Complex Systems. He is a FELLOW of IEEE INCOSE IFAC ASME and AAAS. Since 1997 he has been serving as the General or Program Chair of over 30 IEEE INFORMS IFAC ACM and ASME conferences. He was the President of the IEEE ITS Society from 2005 to 2007 the Vice President of the ACM China Council from 2010 to 2011 and the Vice President and the Secretary-General of the Chinese Association of Automation from 2008-2018. He was the Founding Editor-in-Chief (EiC) of the International Journal of Intelligent Control and Systems from 1995 to 2000 the IEEE ITS Magazine from 2006 to 2007 the IEEE/CAA JOURNAL OF AUTOMATICA SINICA from 2014-2017. He was the EiC of the IEEE Intelligent Systems from 2009-2012 the IEEE TRANSACTIONS ON Intelligent Transportation Systems from 2009-2016 and is the EiC of the IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS from 2017-2020. Currently he is the President of CAA's Supervision Council IEEE Council on RFID and Vice President of IEEE Systems Man and Cybernetics Society.

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