Context-Enhanced Information Fusion - Boosting Real-World Performance with Domain Knowledge (Hardcover, 1st ed. 2016)


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.

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Product 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.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Advances in Computer Vision and Pattern Recognition

Release date

June 2016

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2016

Editors

, , ,

Dimensions

235 x 155 x 41mm (L x W x T)

Format

Hardcover

Pages

703

Edition

1st ed. 2016

ISBN-13

978-3-319-28969-4

Barcode

9783319289694

Categories

LSN

3-319-28969-1



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