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Update set of characteristics based on region

机译:根据地区更新特征集

摘要

An object may be identified, if each measured value of a characteristic of the object is within a corresponding range of a set of characteristics. The object may then be classified as a true alarm or false alarm by a user. Next, the measured values of the object may be added as a data point to a set of data points. Each of data points is along a plurality of dimensions and each of the dimensions corresponds to one of the set of characteristics. Further, each of the data points has been classified as a true alarm or false alarm.;The range of the set of characteristics may be updated to reduce a weighted score based on a number of the true alarms that are outside a region along the plurality of dimensions and a number of the false alarms inside the region for the set of data points. The region is defined based on numerical analysis of the set of data points. The weighted score may provide separate weights to the true alarms outside the region and the missed alarms inside the region.
机译:如果对象的特征的每个测量值在一组特征的对应范围内,则可以识别对象。然后,用户可以将对象分类为真警报或假警报。接下来,可以将对象的测量值作为数据点添加到一组数据点。每个数据点沿多个维度,并且每个维度对应于一组特征中的一个。此外,每个数据点已被分类为真警报或假警报。可以基于沿着多个区域的区域之外的真警报的数量来更新特征集合的范围以减小加权分数。一组数据点的区域内的尺寸和一些误报的数量。基于对数据点集的数值分析来定义区域。加权分数可以为区域外部的真实警报和区域内部的遗漏警报提供单独的权重。

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