9783319289694 - Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge: 0 (Advances in Computer Vision and Pattern Recognition) (10 resultados)

hardcover. Condición: Sehr gut. Seiten; 9783319289694.2 Gewicht in Gramm: 29.

Hardcover. Condición: Good. 1. Auflage. unread, cover with shelfwear and small damages - will be dispatched immediately.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Buch. Condición: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 724 pp. Englisch.

Condición: New. 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. . 2016. 1st ed. 2016. Hardcover. . . . .

Hardcover. Condición: new. Hardcover. 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. The book highlights high- and low-level information fusion problems, performance evaluation under highly demanding conditions, and design principles. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condición: Brand New. 703 pages. 9.50x6.25x1.50 inches. In Stock.

Condición: New. 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. . 2016. 1st ed. 2016. Hardcover. . . . . Books ship from the US and Ireland.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a special focus on practical approaches to solvingreal-world problemsDescribes the application of signal and intelligenceprocessing approaches to open challenges in information fusionPresents an holistic approach, integrating resea.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 724 pp. Englisch.