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Data fusion refers to combining data from multiple sources for achieving better understanding of a phenomenon of interest. Applications abound in engineering and applied sciences, including wireless sensor networks, computer vision, and biometrics.
In several fields, combining different sets of information has taken place, although a more systematic study for the fusion of data is emerging since a decade . The human brain is an example of a complex system which integrates data or signals from different sensory preceptors in the body. Building a machine-based system that can meaningfully integrate data from different sources for better understanding of a phenomenon of interest is the challenge faced in many fields. Since data emerges from different sensors with varying accuracy and coverage factors, benefits of data fusion include improved system reliability and/or redundancy, extended coverage, and possible shorter response time....
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