Patent ID: 8781992
Filing Date: 2014-07-15
Classification: G06N

Abstract:
1. A fusion method, implemented by one or more processors, for classifying a target having a plurality of class types, the method comprising: obtaining evidence from one or more classifiers; obtaining prior distribution of Bayesian beliefs of the class types of the target; obtaining information about recognition accuracy and capacity of each of the one or more classifiers; determining multinomial distribution model, based on the obtained evidence and the information about recognition accuracy and capacity; representing the obtained prior distribution of Bayesian beliefs by a Dirichlet distribution model; applying the Dirichlet distribution model to the determined multinomial distribution model to obtain an updated Dirichlet distribution model; obtaining new evidence; determining a new multinomial distribution model, based on the obtained new evidence and the information about recognition accuracy and capacity; applying the updated Dirichlet distribution model to the new multinomial distribution model to obtain a new updated Dirichlet distribution model; using parameters of the new updated Dirichlet distribution model to estimate Bayesian confidence values for each of the plurality of class types; and using the estimated Bayesian confidence values for each of the plurality of class types to classify the target.