Estimation of the joint probability of multisensory signals

摘要

This paper presents a novel method for estimation of the joint probability of multisensory signals by introducing dimension-reduction mapping functions based on the principle of maximum entropy. A maximum mutual information criterion is derived for selecting the desired mapping functions. An algorithm is further presented for linear transfor- mations of Gaussian random vectors. Experimental results are shown to demonstrate the performance of the proposed method.