this article presents an analytic approach to study admissibility conditions related to classical full wavelet systems over finite fields using tools from computational harmonic analysis and theoretical linear algebra. it is shown that for a large class of non-zero window signals (wavelets), the generated classical full wavelet systems constitute a frame whose canonical dual are classical full ...

The paper presents the results of a case study fitting the generalized Pareto distribution to insurance industry claims data. Besides classical parametric procedures, robust statistical concepts are considered. The latter provide instruments to assess the characteristics of estimators also in the neighborhood of parametric models. A demand for robust methods may arise in cases of fitting distri...

The fitting of curves in computer aided geometric design is generally regarded as an optimisation problem. According to the application, conditions to be satisfied can make the problem difficult to solve with classical methods. Stochastic ones, such as genetic algorithms, therefore appear as a relevant way of solving. We consider here a curve fitting problem aiming the generation of shapes with...

in this paper we introduce the notions of uniformly quasi-primary ideals and uniformly classical quasi-primary submodules that generalize the concepts of uniformly primary ideals and uniformly classical primary submodules; respectively. several characterizations of classical quasi-primary and uniformly classical quasi-primary submodules are given. then we investigate for a ring $r$, when any fi...

An Active Appearance Model (AAM) is a variable shape and appearance model built from annotated training images. It has been largely used to synthesize or fit face images. Person-independent face AAM fitting is a challenging open issue. For standard AAMs, fitting a face image for an individual which is not in the training set is often limited in accuracy, thereby restricting the range of applica...

An Active Appearance Model (AAM) is a variable shape and appearance model built from annotated training images. It has been largely used to synthesize or fit face images. Person-independent face AAM fitting is a challenging open issue. For standard AAMs, fitting a face image for an individual which is not in the training set is often limited in accuracy, thereby restricting the range of applica...

Varying coefficient models have been widely used in longitudinal data analysis, nonlinear time series, survival analysis, and so on. They are natural non-parametric extensions of the classical linear models in many contexts, keeping good interpretability and allowing us to explore the dynamic nature of the model. Recently, penalized estimators have been used for fitting varying-coefficient mode...

In this paper, we develop a new hybrid curve fitting model using fuzzy set and rough set theory. The developed method differs from classical curve fitting techniques and algorithms. For produced rule sets of model to create by using fuzzy logic technique and the membership functions of input and output functions, the range of membership functions and the relations between membership functions i...

The metrology implemented in several classical software equipping the coordinate measuring machines, does not correspond to the standardized tolerancing by zones, virtual conditions and perfect datum features fitted outside the matter. On the basis of these concepts and by generalizing them, a conceptual model of "fitting virtual gauges" is presented. On a part presenting two positional toleran...

This paper addresses the problems of blind channel estimation and symbol detection with second order statistics methods from the received data. It can be shown that this problem is similar to Direction Of Arrival (DOA) estimation, where many solutions like the MUSIC algorithm or “weighted” techniques (as Deterministic Maximum Likelihood or Weighted Subspace Fitting method) have been developed. ...