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Comprehensive Evaluation of Feature Extraction Method with Multi-measurement

机译:多尺度特征提取方法的综合评价

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摘要

This paper focus on the evaluation of several different feature extraction methods in pattern recognition. It provides three kinds of measurement including minimum distance,sum of distance,variance of distance between classes,and adopt AHP (Analytic Hierarchy Process) method to evaluate the performance of features which were extracted from thirty-six characters by different feature extraction method. This paper also gives quantitative evaluations result of feature extraction methods with dimension 32,64 and 96 respectively.
机译:本文着重评估模式识别中几种不同的特征提取方法。它提供了最小距离,距离之和,类间距离的变异性三种测量,并采用AHP(层次分析法)来评估通过不同特征提取方法从36个字符中提取的特征的性能。本文还给出了特征提取方法分别以32,64和96维的定量评估结果。

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