High-Level Data Fusion.

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The book explores object and situation fusion processes with an appropriate handling of uncertainties, and applies cutting-edge artificial intelligence and emerging technologies like particle filtering, spatiotemporal clustering, net-centricity, agent formalism, and distributed fusion together with...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Das, Subrata Kumar
Format: Electronic eBook
Language:Inglés
Published: Norwood : Artech House, 2008.
Subjects:
Expert systems (Computer science)
Computational intelligence.
Human-machine systems.
Human-computer interaction.
Expert Systems
Man-Machine Systems
Systèmes experts (Informatique)
Intelligence informatique.
Systèmes homme-machine.
Computational intelligence
Human-computer interaction
Human-machine systems
Online Access:Texto completo
Table of Contents:
  • High-Level Data Fusion; Table of Contents; Preface; Chapter 1: Models, Architectures, and Data; Chapter 2: Mathematical Preliminaries; Chapter 3: Approaches to Handling Uncertainty; Chapter 4: Introduction to Target Tracking; Chapter 5: Target Classification and Aggregation; Chapter 6: Model-Based Situation Assessment; Chapter 7: Modeling Time for Situation Assessment; Chapter 8: Handling Nonlinear and Hybrid Models; Chapter 9: Decision Support; Chapter 10: Learning of Fusion Models; Chapter 11: Towards Cognitive Agents for Data Fusion; Chapter 12: Distributed Fusion; References.
  • About the AuthorIndex.

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