Context-enhanced Information Fusion: Boosting Real-world Performance With Domain Knowledge (advances In Computer Vision And Pattern Recognition)
by James Llinas /
2016 / English / PDF
20.8 MB Download
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.
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.