In this paper, a non-parametric approach is proposed for the recognition of paper currency. The proposed approach is based on the development of a non-parametric model for each kind of paper currency. The model is obtained by averaging all available samples of a banknote. In order to get a reliable model, all banknotes should be aligned which is ensured in this work by a new proposed capturing ...

Many different parametric models for video quality assessment have been proposed in the past few years. This paper presents a review of nine recent models which cover a wide range of methodologies and have been validated for estimating video quality due to different degradation factors. Each model is briefly described with key algorithms and relevant parametric formulas. The generalization capa...

Scholz and Stephens (1987, Journal of the American Statistical Association 82, 918-924) proposed a nonparametric k-sample Anderson-Darling statistic for grouped data. This note demonstrates that a partition-of-chi 2 method may give a more powerful nonparametric test, particularly when alternatives other than location shift are important. A taste-test example provides motivation.

Let G be the class of simple planar graphs of minimum degree ≥ 4 in which no two vertices of degree 4 are adjacent. A graph H is light in G if there is a constant w such that every graph in G which has a subgraph isomorphic to H also has a subgraph isomorphic to H whose sum of degrees in G is ≤ w. Then we also write w(H) ≤ w. It is proved that the cycle Cs is light if and only if 3 ≤ s ≤ 6, whe...

The paper concerns nonparametric test procedures for detection of a change in the distribution of a sequence independent observations Their limit properties are presented. 2000 Mathematical Subject Class: 62G20, 62E20, 60G10

Suppose we have speciied a parametric model for the transition distribution of a Markov chain, but that the true transition distribution does not belong to the model. Then the maximum likelihood estimator estimates the parameter which maximizes the Kullback{Leibler information between the true transition distribution and the model. We prove that the maximum likelihood estimator is asymp-totical...

The efficient representation and manipulation of data is one of the fundamental tasks in the construction of large software systems. Parametric polymorphism has been one of the most successful approaches to date but, as of yet, has not been applicable to programming with quotient datatypes such as unordered pairs, cyclic lists, bags etc. This paper provides the basis for writing polymorphic pro...

A process-based parametric model for product cost estimation has been developed in this paper. In the model, the production activities of a manufacturing system are classified and their consumption characteristics (mainly the activity cost rates) are analyzed with the Activity-based costing (ABC) method. The relationship from product parameters (the order quantity and design parameters) to the ...