Titlebook: Context-Enhanced Information Fusion; Boosting Real-World Lauro Snidaro,Jesús García,Erik Blasch Book 2016 Springer International Publishin

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Sebastian Ocklenburg,Jutta Peterbursacilitated by representing the information in the messages as a formally defined propositional graph that abides by the uniqueness principle—the principle that every entity or event that is mentioned in the message is represented by a unique node in the graph, or, at worst, by several nodes connecte

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Supervising the Fusion Process by Context Analysis for Target Trackingen if this methodology can be used in different types of fusion processes (detection, classification, etc.), we focus here on a multisensor tracking one. The objective of this combination is to supervise the classical fusion process by context analysis so that this fusion process can adapt itself to the variations of the context.

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Lauro Snidaro,Jesús García,Erik BlaschProvides a special focus on practical approaches to solving.real-world problems.Describes the application of signal and intelligence.processing approaches to open challenges in information fusion.Pres

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Advances in Computer Vision and Pattern Recognitionhttp://image.papertrans.cn/c/image/236901.jpg

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Formalization of “Context” for Information Fusion ambiguous interpretations; thereby improving process efficiency, reliability, and trustworthiness of the fusion product. While everybody recognizes the importance of considering context in inferencing, designers of information fusion processes only recently have begun to incorporate context explici

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Context as an Uncertain Sourcetextual information include uncertain and imprecise qualities and examines the associated impacts on computational operations. An overview regarding the general issue of uncertainty in fusion processes is provided, along with a survey of literature that addresses uncertainty in contextual informatio

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Contextual Tracking Approaches in Information Fusiontexts. One example is weather data for electro-optical target trackers of which standards have evolved over decades. The operating conditions of technology changes, sensor/target variations, and the contextual environment can inhibit performance if not included in the initial systems design. In this

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Context Assumptions for Threat Assessment Systemsins. This chapter identifies the implicit assumptions that require contextual analysis for decision support systems to be effective for providing a relevant threat assessment. The impacts of the design and user assumptions are related to intelligence errors and intelligence failures that come from a