Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge
Jesus Garcia (Ed.)
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Description for Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge
Hardback. Editor(s): Garcia, Jesus; Llinas, James; Blasch, Erik. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 721 pages, 13 black & white illustrations, 229 colour illustrations, 61 black & white tables, 13 col. BIC Classification: UGK; UNH; UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 42. Weight in Grams: 1357.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2016
Series
Advances in Computer Vision and Pattern Recognition
Condition
New
Weight
1357g
Number of Pages
703
Place of Publication
Cham, Switzerland
ISBN
9783319289694
SKU
V9783319289694
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-2
About Jesus Garcia (Ed.)
Dr. Lauro Snidaro is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Udine, Italy. Dr. Jesus Garcia is an Associate Professor in the Computer Science and Engineering Department at the Carlos III University of Madrid, Spain. Dr. James Llinas is an Emeritus Professor in the Department of Industrial ... Read more
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