Computational Knowledge Vision: The First Footprints
Zheng, Wenbo
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Add to basketSold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since 9 October 2009
Condition: New
Quantity: 10 available
Add to basket2024. paperback. . . . . . Books ship from the US and Ireland.
Seller Inventory # V9780443216190
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 vision–computational knowledge vision.
Prof. Fei-Yue Wang is the State Specially Appointed Expert and the Founding Director of the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, in China. He is also a research Professor at the DeSci Center of Parallel Intelligence, Obuda University, Budapest, Hungary. His research focuses on intelligent control, social computing, and knowledge automation, with a particular emphasis on energy and complex systems. He pioneered the concepts of Social Energy and the Parallel Energy initiative, aimed at integrating social intelligence into energy management and optimization. Additionally, his research explores methods and applications for parallel intelligence, social computing, and knowledge automation. He is a Fellow of INCOSE, IFAC, ASME, and AAAS. In 2007, he received the National Prize in Natural Sciences of China, numerous best papers awards from IEEE Transactions, and became an Outstanding Scientist of ACM for his work in intelligent control and social computing. In 2024, he received IEEE CRFID Emily Sopensky Meritorious Service Award, IEEE SMC Lotfi A. Zadeh Pioneer Award, and 2025 IEEE Transportation Technologies Award. In 2025, he received IEEE ITSS Lifetime Achievement Award. Additionally, in 2021, he was selected as the IFAC Pavel J. Nowacki Distinguished Lecturer.
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