Maximum a posteriori approach to object recognition with distributed sensors
Keri̇m Demi̇rbaş · IEEE Transactions on Aerospace and Electronic Systems · 1988
The maximum a posteriori (MAP) estimation concept is applied to the problem of object recognition with several distributed sensors. It is shown that in binary object recognition the MAP object recognition also minimizes the mean-square error. Simulation results show that the performance of the MAP object recognition is, in general, at least as good as the best performance by the sensors used.>