书目名称 | Context-Enhanced Information Fusion |
副标题 | Boosting Real-World |
编辑 | Lauro Snidaro,Jesús García,Erik Blasch |
视频video | http://file.papertrans.cn/237/236901/236901.mp4 |
概述 | Provides a special focus on practical approaches to solving.real-world problems.Describes the application of signal and intelligence.processing approaches to open challenges in information fusion.Pres |
丛书名称 | Advances in Computer Vision and Pattern Recognition |
图书封面 |  |
描述 | This text reviews the fundamental theory and latest methods for including contextual information in fusion process design and implementation. Chapters are contributed by the foremost international experts, spanning numerous developments and applications. The book highlights high- and low-level information fusion problems, performance evaluation under highly demanding conditions, and design principles. A particular focus is placed on approaches that integrate research from different communities, emphasizing the benefit of combining different techniques to overcome the limitations of a single perspective. Features: introduces the terminology and core elements in information fusion and context; presents key themes for context-enhanced information fusion; discusses design issues in developing context-aware fusion systems; provides mathematical grounds for modeling the contextual influences in representative fusion problems; describes the fusion of hard and soft data; reviews a diverse range of applications. |
出版日期 | Book 2016 |
关键词 | Context Representation and Exploitation; Data and Information Fusion; Hard and Soft Fusion; Intelligent |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-28971-7 |
isbn_softcover | 978-3-319-80464-4 |
isbn_ebook | 978-3-319-28971-7Series ISSN 2191-6586 Series E-ISSN 2191-6594 |
issn_series | 2191-6586 |
copyright | Springer International Publishing Switzerland (outside the USA) 2016 |