The random sample consensus (RANSAC) algorithm, along with its many cousins such as MSAC and MLESAC, has become a standard choice for robust estimation in many computer vision problems. Recently, a raft of modifications to the basic RANSAC algorithm have been proposed aimed at improving its efficiency. Many of these optimizations work by reducing the number of hypotheses that need to be evaluat...

Introduction: Efficiency evaluation of universities and facultiesis one of the tools that help managers to identify the departments’strengths and weakness. The main objective of the presentresearch was to measure and compare the technical efficiency ofShiraz school of medicine departments using Data EnvelopmentAnalysis (DEA) technique.Methods: This cross-sectional and retrospective study wasper...

in this article, we have used 36 electricity distribution companies of iran and by using input-oriented dea, we analysis the companies technical efficiency with respect to group frontier and metafrontier following restructuring, then we investigate the factors affecting efficiency. the companies decomposed to two groups in terms of high and low circuit density. for discussing the impact of stru...

In recent years, a number of machine learning approaches to literature-based gene function annotation have been proposed. However, due to issues such as lack of labeled data, class imbalance and computational cost, they have usually been unable to surpass simpler approaches based on string-matching. In this paper, we investigate the use of semantic kernels as a way to address the task’s inheren...

background: nowadays, restriction on access and optimum use of resources is the main challenge of development in all organizations. therefore, the aim of this study was to determine the technical efficiency and its factors, influencing hospitals of tehran. methods: this research was a descriptive-analytical and retrospective study conducted in 2014-2015. fifty two hospitals with public, private...

recently the concept of facility efficiency, which defined by data envelopment analysis (dea), introduced as a location modeling objective, that provides facilities location’s effect on their performance in serving demands. by combining the dea models with the location problem, two types of “efficiencies” are optimized: spatial efficiency which measured by finding the least cost location and al...

The objective of this paper is to measure the productive efficiency of banks in a developing country, that is, India. The measurement of efficiency is done using Data Envelopment Analysis (DEA). Two models have been constructed to show how efficiency scores vary with change in inputs and outputs. The efficiency scores, for three groups of banks, that is, publicly owned, privately owned and fore...