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AUTOMATED FEATURE ANALYSIS, COMPARISON, AND ABNORMALITY DETECTION

机译:自动特征分析,比较和异常检测

摘要

PROBLEM TO BE SOLVED: To provide automated feature analysis, comparison, and abnormality detection method for collecting data from a large variety of fields of applications to extract features.SOLUTION: A first characteristic component is obtained by normalizing a physical feature acquired from a physical object by a sensor into a magnitude of from 0 to 1. A second characteristic component is obtained by dividing the first characteristic component by the number of components in the characteristic component. A third characteristic component is further obtained by absolutely normalizing the second characteristic component based on a distribution of a second feature quantity. A physical object is analyzed by clustering a third plurality of normalized components.SELECTED DRAWING: None
机译:解决的问题:提供自动化的特征分析,比较和异常检测方法,以从各种应用程序领域收集数据以提取特征。解决方案:通过标准化从物理对象获取的物理特征来获得第一个特征分量通过传感器将其从0到1的幅度。通过将第一特征分量除以特征分量中的分量数目来获得第二特征分量。通过基于第二特征量的分布对第二特征分量进行绝对归一化,进一步获得第三特征分量。通过聚类第三组多个归一化组件来分析物理对象。

著录项

  • 公开/公告号JP2018081714A

    专利类型

  • 公开/公告日2018-05-24

    原文格式PDF

  • 申请/专利权人 CALIFORNIA INST OF TECHNOLOGY;

    申请/专利号JP20180000071

  • 发明设计人 WOLFGANG FINK;

    申请日2018-01-04

  • 分类号G06T7;A61B3/10;

  • 国家 JP

  • 入库时间 2022-08-21 13:12:50

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