Non-negative Matrix Factorization (NMF) is a part-based image representation method. It comes from the intuitive idea that entire face image can be constructed by combining several parts. In this paper, we propose a framework for face recognition by finding localized, part-based representations, denoted “Iterative weighted non-smooth non-negative matrix factorization” (IWNS-NMF). A new cost fun...

payment order in eft can be a negotiable instrument in two ways; it can be an instrument based on custom and regulation meaning that whether it should be considered as new instrument or be incorporated in one of the current instruments. in light of iranian legal system and against common law, it is not acceptable that a new negotiable instrument be created by custom because some characteristics...

In this paper, we introduce the idea of relative order and type of entire functions represented by Banach valued Dirichlet series of two complex variables to generalize some earlier results. Proving some preliminary theorems on the relative order, we obtain sum and product theorems and we show that the relative order of an entire function represented by Dirichlet series is the same as that of i...

In this paper we introduce a conception of learning which is a natural extension of economists' representations of learning and which is natural to develop using KBS technology. In the particular form of KBS we use, rule conditions and actions are well formulated formulae of first-order predicate logic (FOPL). As a result, the simulation results obtained from these models are no less analytical...