探测系统家族中的融合

M. Oxley, Christine M. Schubert-Kabban
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引用次数: 0

摘要

检测系统输出两个不同的标签,因此,它可以产生两个错误。随着系统内参数的变化,接收机工作特性(ROC)函数量化了这两种误差。当选择合适的组合规则时,组合两个检测系统通常会产生更好的性能。当两个或多个检测系统组合在一起时,为了简化数学计算,通常会做出独立的假设,这样我们只需要将每个系统的单个ROC曲线合并为一个ROC曲线。本文研究了来自单一检测系统族(DSF)的两个或多个检测系统的标签融合。假设知道DSF的ROC函数,我们寻求一个公式,将融合检测系统的结果ROC函数作为ROC函数的函数(具体来说,是一个变换)。在之前的工作中,我们为析取和合取标签规则导出了这个变换。本文将这些结果扩展到同一家族中的多个检测系统。给出的例子演示了这些作用于ROC函数的新变换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fusion within a Detection System Family
A detection system outputs two distinct labels, thus, there are two errors it can make. The Receiver Operating Characteristic (ROC) function quantifies both of these errors as parameters vary within the system. Combining two detection systems typically yields better performance when a combining rule is chosen appropriately. When two or more detection systems are combined the assumption of independence is usually made in order to simplify the mathematics, so that we need only combine the individual ROC curves from each system into one ROC curve. This paper investigates label fusion of two and more detection systems drawn from a single Detection System Family (DSF). Given that one knows the ROC function for the DSF, we seek a formula with the resultant ROC function of the fused detection systems as a function (specifically, a transformation) of the ROC function. In previous work, we derived this transformation for the disjunction and conjunction label rules. This paper extends those results to several detection systems within the same family. Examples are given that demonstrates these new transformations acting on the ROC function.
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