Optimality for data fusion of detectors using Voronoi cells
2000
The problem of optimal signal classification with distributed sensors and restricted communication channels is considered. The classifier is to decide if a signal is in one of several possible classes after being observed through a suite of sensors, each sensor giving rise to a soft classification. The local classifiers are assumed to be based on a Voronoi decomposition of the associated sensor output space. Conditions of optimality for both the classifier and the sensors are given.
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