Fast algorithm to nonnegative tensor factorization
非负张量分解的快速算法

As the multi-linear extension of nonnegative matrix factorization,nonnegative tensor factorization has been successfully applied in many fields including signal processing,computer vision,data mining and neuroscience.This paper proposed a fast algorithm to nonnegative tensor factorization.Firstly,regarded a lager tensor data as the discretization of multivariate continuous function and obtained a corresponding smaller tensor data by sampling.Secondly,performed the nonnegative factorization on the small tens...