The existence of admissible vectors for a locally compact group is closely related to the group's profile. In the compact groups, according to Peter-weyl theorem, every irreducible representation has admissible vector. In this paper, the conditions under which the inverse of this case is being investigated has been investigated. Conditions such as views that are admissible and stable will get c...

providing of food products for increasing population, enhancing food security, increasing of production and foreign incomes are among the major program purposes of each country and monetary policies are one of the methods that immediately affected on food price and on major agriculture variables. time series analysis was used for studying the impacts of monetary policies effect on food price in...

Mapping human genetic variation is fundamentally interesting in fields such as anthropology and forensic inference. At the same time, patterns of genetic diversity confound efforts to determine the genetic basis of complex disease. Due to technological advances, it is now possible to measure hundreds of thousands of genetic variants per individual across the genome. Principal component analysis...

based on the point of view of geometrical representation of an intuitionistic fuzzy set, we take into account all three parameters describing intuitionistic fuzzy set, propose a kind of new method to calculate correlation and correlation coefficient of intuitionistic fuzzy sets which is similar to the cosine of the intersectional angle in finite sets and probability space, respectively. further...

Sparse coding is a method for nding a representation of data in which each of the components of the representation is only rarely signiicantly active. Such a representation is closely related to redundancy reduction and independent component analysis, and has some neurophysiological plausibility. In this paper, we show how sparse coding can be used for denoising. Using maximum likelihood estima...

A time–frequency analysis method to study electromagnetic scattering is presented and demonstrated using canonical objects. The time–frequency analysis method utilizes the Bargmann transform to formulate the signal representation in phase space. The use of the Bargmann transform leads to an attractive parametric signal representation in terms of complex polynomials, and elliptical filters can b...

We developed a method that transforms a polygonal representation of an object into a voxel representation on a 3D regular grid. By applying scale-space theory we derived expressions for an anti-aliased voxel representation of points, lines, and triangles. The algorithm ‘paints’ the triangles on the voxel grid and ‘fills’ the resulting surface. The method can be applied in 3D (medical) imaging a...

In this paper we propose an approach for the representation of dance gestures in Samba dance. This representation is based on a video analysis of body movements, carried out from the viewpoint of the musical meter. Our method provides the periods, a measure of energy and a visual representation of periodic movement in dance. The method is applied to a limited universe of Samba dances and music,...

This paper describes a new method to calculate the spatio-temporal correlation efficiently in a parametric eigenspace representation for moving object recognition. A parametric eigenspace compactly represents the temporal change of an image sequence by a trajectory in the eigenspace. This representation reduces the computational cost of correlation-based comparison between image sequences. Expe...

This paper introduces an object shape representation using Kernel Density Feature Points Estimator (KDFPE). In this method we obtain the density of feature points within defined rings around the centroid of the image. The Kernel Density Feature Points Estimator is then applied to the vector of the image. KDFPE is invariant to translation, scale and rotation. This method of image representation ...