2,578,156 research outputs found

    PERFORMANCE MEASURES OF BIOMETRICS SYSTEMS

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    The objective of this report is to review existing performance measures of biometrics systems .It also contains the definition on biometrics system as a whole

    Transit Performance Measures in California

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    This research is the result of a California Department of Transportation (Caltrans) request to assess the most commonly available transit performance measures in California. Caltrans wanted to understand performance measures and data used by Metropolitan Planning Organizations (MPOs) and transit agencies to help it develop statewide measures. This report serves as a summary reference guide to help Caltrans understand the numerous and diverse performance measures used by MPOs and transit agencies in California. First, investigators review the available literature to identify a complete transit performance framework for the purposes of organizing agency measures, metrics, and data sources. Next, they review the latest transit performance measures documented in planning reports for the four largest MPOs in California (San Francisco Bay Area, Los Angeles, San Diego, and Sacramento). Researchers pay special attention to the transit performance measures used by these MPOs, because these measures are available for the majority of California’s population. Finally, investigators summarize 231 performance measures used by a total 26 local transit agencies in the State of California, based on transit planning documents available on the internet

    Measures of Environmental Performance

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    Sustainable development was recognized and accepted easily as a vision for afuture in which the “limits of growth” are respected while the wealth and welfare of humans continues to increase. Governments, companies, communities, and even individuals are now aware that environment needs more consideration and some effort should be invested in protecting or restoring it. Most of these efforts mean higher costs and lower incomes or profit, contradicting the basic tenets of economics. Nevertheless, there is an area where the interests could and should meet. This area is efficiency, and since it could be interpreted from the perspective of environmental outcomes, is ecoefficiency. Reducing water consumption, energy use, amount of waste that is generated, volume of discharged waste water means for a company less costs. In case that these reductions are occurring and production is steady or even increasing, efficiency is improved, along with the environmental performance of the company. The paper explains the rational of eco-efficiency concept and makes comments on a number of quantitative approaches.environmental performance, sustainable development, eco-efficiency, environmental impact, environmental pressure.

    On Educational Performance Measures

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    Quantitative school performance measures (QPMs) are playing an ever larger role in education systems on both sides of the Atlantic. In this paper we outline the rationale for the use of such measures in education, review the literature relating to several important problems associated with their use, and argue that they nonetheless have a positive role to play in improving the educational quality. We delineate several institutional reforms which would help schools to respond "positively" to QPMs, emphasizing the importance of agents' flexibility to change the way they work, and the importance of a sound knowledge base regarding "what works" in raising attainment. We suggest that the present institutional setups in both England and the US too often hold schools accountable for outcomes over which they have little control – but that such problems are far from insurmountable.performance measures, education incentives, school quality

    Visual object tracking performance measures revisited

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    The problem of visual tracking evaluation is sporting a large variety of performance measures, and largely suffers from lack of consensus about which measures should be used in experiments. This makes the cross-paper tracker comparison difficult. Furthermore, as some measures may be less effective than others, the tracking results may be skewed or biased towards particular tracking aspects. In this paper we revisit the popular performance measures and tracker performance visualizations and analyze them theoretically and experimentally. We show that several measures are equivalent from the point of information they provide for tracker comparison and, crucially, that some are more brittle than the others. Based on our analysis we narrow down the set of potential measures to only two complementary ones, describing accuracy and robustness, thus pushing towards homogenization of the tracker evaluation methodology. These two measures can be intuitively interpreted and visualized and have been employed by the recent Visual Object Tracking (VOT) challenges as the foundation for the evaluation methodology

    PERFORMANCE MEASURES: BANDWIDTH VERSUS FIDELITY IN PERFORMANCE MANAGEMENT

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    Performance is of focal and critical interest in organizations. Despite its criticality, when it comes to human performance there are many questions as to how to best measure and manage performance. One such issue is the breadth of the performance that should be considered. In this paper, we examine the issue of the breadth of performance in terms of measuring and managing performance. Overall, a contingency approach is taken in which the expected benefits and preference for broad or narrow performance measures depend on the type of job (fixed or changeable).bandwidth, fidelity in performance management, performance measures

    Evaluation of Performance Measures for Classifiers Comparison

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    The selection of the best classification algorithm for a given dataset is a very widespread problem, occuring each time one has to choose a classifier to solve a real-world problem. It is also a complex task with many important methodological decisions to make. Among those, one of the most crucial is the choice of an appropriate measure in order to properly assess the classification performance and rank the algorithms. In this article, we focus on this specific task. We present the most popular measures and compare their behavior through discrimination plots. We then discuss their properties from a more theoretical perspective. It turns out several of them are equivalent for classifiers comparison purposes. Futhermore. they can also lead to interpretation problems. Among the numerous measures proposed over the years, it appears that the classical overall success rate and marginal rates are the more suitable for classifier comparison task
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