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Method for selecting a particular model of a class of objects from a set of low-dimensional models of the class

机译:从一组类别的低维模型中选择特定类别的对象的方法

摘要

A inodel of a class of objects is selected from a set of low-dimensional models of the class, wherein the models are graphs, each graph including a plurality of vertices representing objects in the class and edges connecting the vertices. First distances between a subset of high-dimensional samples of the objects in the class are measured. The first distances are combined with the set of low-dimensional models of the class to produce a subset of models constrained by the first distances and a particular model having vertices that are maximally dispersed is selected from the subset of models.
机译:从该类的一组低维模型中选择一类对象的对象,其中模型是图,每个图包括表示该类中的对象的多个顶点和连接这些顶点的边。测量类别中的对象的高维样本的子集之间的第一距离。将第一距离与该类的低维模型集合组合以产生受第一距离约束的模型子集,并从模型子集中选择具有最大分散顶点的特定模型。

著录项

  • 公开/公告号EP1770598A1

    专利类型

  • 公开/公告日2007-04-04

    原文格式PDF

  • 申请/专利权人 MITSUBISHI ELECTRIC CORPORATION;

    申请/专利号EP20060019567

  • 发明设计人 BRAND MATTHEW E.;

    申请日2006-09-19

  • 分类号G06K9/62;

  • 国家 EP

  • 入库时间 2022-08-21 20:44:49

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