A hybrid NN-Bayesian architecture for information fusion
This paper discusses a novel technique for information fusion. Specifically, a formula is derived for estimation of the joint probabilities in the maximum entropy sense. In addition, neural networks are used to estimate conditional probabilities required in the Bayesian inference method. Preliminary experimental results demonstrate that the proposed method can significantly improve the accuracy of the bimodal recognition system using audio/video signals.