Téléchargez le livre : Context-Enhanced Information Fusion

Context-Enhanced Information Fusion

Boosting Real-World Performance with Domain Knowledge de

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Éditeur :

Springer


Collection :

Advances in Computer Vision and Pattern Recognition

Paru le : 2016-05-25

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Description
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.
Pages
703 pages
Collection
Advances in Computer Vision and Pattern Recognition
Parution
2016-05-25
Marque
Springer
EAN papier
9783319289694
EAN PDF
9783319289717
Informations sur l'ebook
Nombre pages copiables
7
Nombre pages imprimables
70
Taille du fichier
21453 Ko
Prix
116,04 €
EAN EPUB
9783319289717
Informations sur l'ebook
Nombre pages copiables
7
Nombre pages imprimables
70
Taille du fichier
13537 Ko
Prix
116,04 €

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