Context-enhanced information fusion : boosting real-world performance with domain knowledge /: boosting real-world performance with domain knowledge. (2016)

• Record Type: Book
• Further Information: Note: Lauro Snidaro, Jesús García, James Llinas, Erik Blasch, editors.
• Editors: Snidaro, Lauro; García, Jesús; Llinas, James; Blasch, Erik
• Contents: Part I: Foundations -- Context and Fusion: Definitions, Terminology -- Part II: Concepts of Context for Fusion -- Formalization of "Context" for Information Fusion -- Context as an Uncertain Source -- Contextual Tracking Approaches in Information Fusion -- Context Assumptions for Threat Assessment Systems -- Context-Aware Knowledge Fusion for Decision Support -- Part III: Systems Philosophy of Contextual Fusion -- System-Level Use of Contextual Information -- Architectural Aspects for Context Exploitation in Information Fusion -- Middleware for Exchange and validation of context data and information -- Modeling User Behaviors to Enable Context-Aware Proactive Decision Support -- Part IV: Mathematical Characterization of Context -- Supervising the Fusion Process by Context Analysis for Target Tracking -- Context Exploitation for Target Tracking -- Contextual Tracking in Surface Applications: Algorithms and Design Examples -- Context Relevance for Text Analysis and Enhancement for Soft Information Fusion -- Algorithms for Context Learning and Information Representation for Multi-Sensor Teams -- Part V: Context in Hard/Soft Fusion -- Context for Dynamic and Multi-Level Fusion -- Multi-Level Fusion of Hard and Soft Information for Intelligence -- Context-Based Fusion of Physical and Human Data for Level 5 Information Fusion -- Context Understanding from Query-Based Streaming Video -- Part VI: Applications of Context Approaches to Fusion -- The Role of Context in Multiple Sensor Systems for Public Security -- Entity Association Using Context for Wide-Area Motion Imagery Target Tracking -- Ground Target Tracking Applications: Design Examples for Military and Civil Domains -- Context-Based Situation Recognition in Computer Vision Systems -- Data Fusion Enhanced with Context Information for Road Safety Application -- Context in Robotics and Information Fusion.
• Publisher Details: Switzerland : Springer
• Publication Date: 2016
• Extent: 1 online resource (xviii, 703 pages), illustrations (some color)
• Subjects: 004; Computer science; Context-aware computing; Multisensor data fusion; Context-aware computing; Multisensor data fusion; COMPUTERS / Computer Literacy; COMPUTERS / Computer Science; COMPUTERS / Data Processing; COMPUTERS / Hardware / General; COMPUTERS / Information Technology; COMPUTERS / Machine Theory; COMPUTERS / Reference; Computers -- Information Technology; Computers -- Intelligence (AI) & Semantics; Computers -- Computer Simulation; Information retrieval; Artificial intelligence; Computer modelling & simulation; Optical pattern recognition; Artificial intelligence; Computer simulation; Computers -- Computer Vision & Pattern Recognition; Pattern recognition; Electronic books
• Languages: English
• ISBNs: 9783319289717; 3319289713
• Related ISBNs: 9783319289694; 3319289691
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed June 6, 2016).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.