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

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Dr. Lauro Snidaro is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Udine, Italy. Dr. Jesús García 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 and Systems Engineering, and in the Department of Electrical Engineering, at the State University of New York at Buffalo, NY, USA. Dr. Erik Blasch is a Principal Scientist at the Air Force Research Laboratory Information Directorate (AFRL/RIEA) in Rome, NY, USA. The editors and contributors have all been leading experts within the international society of information fusion (ISIF).

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This interdisciplinary text/reference reviews thefundamental theory and latest methods for including contextual information infusion process design and implementation. Chapters are contributed by theforemost international experts, spanning numerous developments andapplications. The book highlights high- and low-level information fusionproblems, performance evaluation under highly demanding conditions, and designprinciples. A particular focus is placed on holistic approaches that integrateresearch from different communities, emphasizing the benefit of combiningdifferent techniques to overcome the limitations of a single perspective or approach.

Topics andfeatures:

·        Introduces the essential terminology and core elementsin information fusion and context, conveyed with the support of the JDL/DFIGdata fusion model

·        Presents key themes for context-enhanced informationfusion, including topics derived from target tracking, decision support andthreat assessment

·        Discusses design issues in developing context-awarefusion systems, proposing several architectures optimized for context accessand discovery

·        Provides mathematical grounds for modeling thecontextual influences in representative fusion problems, such as sensor qualityassessment, target tracking, robotics, and text analysis

·        Describes the fusion of device-generated (hard) datawith human-generated (soft) data

·        Reviews a diverse range of applications where theexploitation of contextual information in the fusion process boosts systemperformance

This authoritative volume will be of great use toresearchers, academics, and practitioners pursuing applications whereinformation fusion offers a solution. The broad coverage will appeal to thoseinvolved in a variety of disciplines, from machine learning and data mining, tomachine vision, decision support systems, and systems engineering.

Dr. Lauro Snidaro is an Assistant Professorin the Department of Mathematics and Computer Science at the University ofUdine, Italy. Dr. Jesús García is an AssociateProfessor in the Computer Science and Engineering Department at the Carlos IIIUniversity of Madrid, Spain. Dr. JamesLlinas is an Emeritus Professor in the Department of Industrial and SystemsEngineering, and in the Department of Electrical Engineering, at the StateUniversity of New York at Buffalo, NY, USA. Dr. Erik Blasch is a Principal Scientistat the Air Force Research Laboratory Information Directorate (AFRL/RIEA) inRome, NY, USA. The editors and contributors have all been leading expertswithin the international society of information fusion (www.isif.org).