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Titlebook: Context-Enhanced Information Fusion; Boosting Real-World Lauro Snidaro,Jesús García,Erik Blasch Book 2016 Springer International Publishin

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发表于 2025-3-21 16:43:24 | 显示全部楼层 |阅读模式
书目名称Context-Enhanced Information Fusion
副标题Boosting Real-World
编辑Lauro Snidaro,Jesús García,Erik Blasch
视频videohttp://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Titlebook: Context-Enhanced Information Fusion; Boosting Real-World  Lauro Snidaro,Jesús García,Erik Blasch Book 2016 Springer International Publishin
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
doihttps://doi.org/10.1007/978-3-319-28971-7
isbn_softcover978-3-319-80464-4
isbn_ebook978-3-319-28971-7Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightSpringer International Publishing Switzerland (outside the USA) 2016
The information of publication is updating

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Voluntourism and Language Learning/Teachingapplications; these frameworks should be viewed as suggestions of notional processing concepts for these purposes. The chapter also provides numerous references for the reader to follow up and explore any of the ideas offered herein.
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Context and Fusion: Definitions, Terminologyapplications; these frameworks should be viewed as suggestions of notional processing concepts for these purposes. The chapter also provides numerous references for the reader to follow up and explore any of the ideas offered herein.
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Book 2016ion 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.
发表于 2025-3-23 00:20:14 | 显示全部楼层
Context-Aware Knowledge Fusion for Decision Support which knowledge fusion processes go on. This system provides fused outputs from different knowledge sources. It relies upon context model, which is the key to fuse information/knowledge and to generate useful decisions. The discussion is complemented by examples from a fire response scenario.
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Preliminaries For (Uniform) Interpolationadaptation mechanism following the JDL data fusion model reference. The chapter is written at a general level, so that context input is abstracted as a service and the “middleware” concept is exploited.
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https://doi.org/10.1007/978-3-031-42014-6o the role of and specific exploitation strategies for contextual information to support threat assessment for harbor protection; this use case derives from in-depth research at the NATO Center for Maritime Research and Experimentation (CMRE; La Spezia, Italy).
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