Face recognition has received increasing attention from diverse research communities and the market over the past years. Various techniques have been intensively investigated aiming at high recognition accuracy and robustness against numerous facial appearance variations. Application areas of face recognition have also been expanded and more robust systems are required as the application scenar...

‎we characterize those groups $g$ and vector spaces $v$ such that $v$ is a faithful irreducible $g$-module and such that each $v$ in $v$ is centralized by a $g$-conjugate of a fixed non-identity element of the fitting subgroup $f(g)$ of $g$‎. ‎we also determine those $v$ and $g$ for which $v$ is a faithful quasi-primitive $g$-module and $f(g)$ has no regular orbit‎. ‎we do use these to show in ...

A general methodology for evaluating the accuracy of the results produced by scientific software has been developed at the National Physical Laboratory. The basis of the approach is the design and use of reference data sets and corresponding reference results to undertake black-box testing. The approach enables reference data sets and results to be generated in a manner consistent with the func...

water quality assessment provides a scientific basis for water resources development and management. this case study proposes a factor analysis- hopfield neural network model (fhnn) based on factor analysis method and hopfield neural network method. the results showed that the factor analysis (fa) technique was introduced to identify important water quality parameters. results revealed that bio...

In this paper, a data validation and reconstruction methodology that can be applied to the sensors used for real-time monitoring in water networks is presented. On the one hand, a validation approach based on quality levels is described to detect potential invalid and missing data. On the other hand, the reconstruction strategy is based on a set of temporal and spatial models used to estimate m...

We consider the problem of evaluating quantitative service-level agreements in public services such as transportation systems. We describe the integration of quantitative analysis tools for data fitting, model generation, simulation, and statistical model-checking, creating an analysis pathway leading from system measurement data to verification results. We apply our pathway to the problem of d...

Improvements in de-interlacing algorithms are fundamental to explore image quality potential on modern TV screen technologies. This paper presents a true motion vector verification algorithm based on multi temporal block matching strategy, applied to video de-interlacing. During field scanning, a block of pixels is selected, then a block with the same reference coordinates is extracted but in t...

FamilySearch captures millions of digital images annually using digital cameras at sites throughout the world. The top image quality problem encountered during this image capture process is blurriness due to an out of focus camera and/or motion during capture. Several automatic measurements of digital image blur exist, but have been found to not be very accurate at correctly classifying blurry ...