Context-Enhanced Information Fusion

Boosting Real-World Performance with Domain Knowledge

703 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Advances in Computer Vision and Pattern Recognition
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI) Mustererkennung
• ISBN: 9783319289694
• Sprache: Englisch
• Erscheinungsdatum: 06.06.2016
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing
• Herausgegeben von: Lauro Snidaro, Jesús García, James Llinas, Erik Blasch