Abstract: This paper reconstructs multivariate functions from scattered data by a new multiscale technique. The reconstruction uses support vector regression model by positive definite reproducing ...

Functional connectivity analyses are typically based on matrices containing bivariate measures of covariability, such as correlations. Although this has been a fruitful approach, it may not be the ...

This Python-module computes generating functions for the number of some special multivariate polynomials over finite fields. The accompanying paper [GVZ13] also ...

This is a preview. Log in through your library . Abstract ABSTRACT A unified turbulence and cloud parameterization based on multivariate probability density functions (PDFs) has been incorporated into ...

1 Faculty of Sciences of Bizerte, Carthage University, Tunis, Tunisia. 2 Faculty of Economics and Management of Nabeul, Carthage University, Tunis, Tunisia. This paper deals with the global ...

If int, random_state is the seed used by the random number generator; If RandomState instance, random_state is the random number generator; If None, the random number generator is the RandomState ...

Abstract: The first nonlinear rules for wavelet based image denoising assume wavelet coefficients are independent. However it is well known that there are strong dependencies between coefficients such ...

1 Faculty of Sciences of Bizerte, Carthage University, Tunis, Tunisia 2 Faculty of Economics and Management of Nabeul, Carthage University, Tunis, Tunisia This paper deals with the global optimization ...