The authors introduce new measures of directional emission in microcavity lasers by exploiting the notion Shannon entropy, and suggest that an entropic measure unidirectional is more accurate efficient than former measures.

Bankruptcy in the same amount of time and history is very rampant and therefore the vision of the future can be prevented. Using data envelopment analysis (DEA) and malmquist index can precise evaluating of the performances of many different kinds of decision making units (DMU) such as hospitals, universities, business firms, etc. In this paper, we will modify directional distance formulation o...

Beküldte Németh Gábor 2. k, 2014-07-22 14:55 Tasi T [1], Nyúl LG [2], Balázs P [3]. Directional Convexity Measure for Binary Tomography [4]. In: Sanniti di Baja G [5], Ruiz-Shulcloper J [6], editors. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Berlin; Heidelberg: Springer Verlag; 2013. 9. p. 9-16p. Doktori iskola elfogadás: igen Válogatott publikáció: ige...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

For mixing Zd-actions generated by commuting automorphisms of a compact abelian group, we investigate the directional uniformity of the rate of periodic point distribution and mixing. When each of these automorphisms has finite entropy, it is shown that directional mixing and directional convergence of the uniform measure supported on periodic points to Haar measure occurs at a uniform rate ind...

Financial returns exhibit stylized facts such as leptokurtosis, skewness and heavy-tailness. Regarding this behavior, in this paper, we apply multivariate generalized hyperbolic (mGH) distribution for portfolio modeling and performance evaluation, using conditional value at risk (CVaR) as a risk measure and allocating best weights for portfolio selection. Moreover, a robust portfolio optimizati...

palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. texture is one of the most important features extracted from low resolution images. in this paper, a new local descriptor, local composition derivative pattern (lcdp) is proposed to extract smartly stronger...

Many aspects of human behavior are remarkably stable across times, places, and situations. Repetition and predictability also characterizes our geographical behavior. Prior research has confirmed that criminal behavior is no exception. Offenders tend to recidivate, and recidivists tend to be behaviorally consistent in many aspects, including geographical ones. The present study assesses directi...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...