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CLASSIFICATION DICTIONARY LEARNING SYSTEM, CLASSIFICATION DICTIONARY LEARNING METHOD AND RECORDING MEDIUM

机译:分类词典学习系统,分类词典学习方法和记录介质

摘要

To provide a classification dictionary learning system and the like that can generate a classification dictionary capable of detecting, with a high classification rate, a particular object of which change in the appearance is large in an image. The classification dictionary learning system includes: setting unit sets the priority degree of the classification between the first class and the second class including the sub-class to a value designated by the user and the like; the classifier learning unit sets the priority degree; the selection unit learns multiple classifiers on the basis of the priority degree for each combination of sub-classes; the weight updating unit updates the weight on the basis of the classification accuracy based on the classifier learned with the selected combination.
机译:为了提供一种分类词典学习系统等,其可以生成能够以高分类率检测图像中外观变化大的特定对象的分类词典。分类词典学习系统包括:设置单元,将包括子类的第一类和第二类之间的分类的优先级设置为用户等指定的值;以及分类器学习单元设置优先级;选择单元根据子类的每种组合的优先度学习多个分类器。权重更新单元基于基于利用所选择的组合学习的分类器的分类精度来更新权重。

著录项

  • 公开/公告号US2017039451A1

    专利类型

  • 公开/公告日2017-02-09

    原文格式PDF

  • 申请/专利权人 NEC CORPORATION;

    申请/专利号US201515128545

  • 发明设计人 TOSHINORI HOSOI;

    申请日2015-03-20

  • 分类号G06K9/62;G06N99;

  • 国家 US

  • 入库时间 2022-08-21 13:44:47

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