Classification system
    1.
    发明申请
    Classification system 审中-公开
    分类系统

    公开(公告)号:US20070237388A1

    公开(公告)日:2007-10-11

    申请号:US11405145

    申请日:2006-04-17

    CPC classification number: G06K9/6256 G06K9/6279 G06K2209/19

    Abstract: A classification system or classifying images of solder joints has a two-sided classifier to which query cases are presented. It can operate in an environment without task-specific counter-concept cases (“bad examples”) because it filters a library of general counter-concept cases to provide a refined set of counter-concept cases. The filtering is performed by a one-sided classifier, which uses a base of task-specific concept cases to perform the filtration.

    Abstract translation: 分类系统或对焊点进行分类的图像具有双面分类器,用于查询案例。 它可以在没有任务特定的反概念案例(“坏例子”)的环境中运行,因为它过滤了一般的反概念案例库,以提供一组精简的反概念案例。 过滤由单面分类器执行,该分类器使用基于任务的概念情况来执行过滤。

    Classification system
    2.
    发明申请
    Classification system 审中-公开
    分类系统

    公开(公告)号:US20070043722A1

    公开(公告)日:2007-02-22

    申请号:US11405211

    申请日:2006-04-17

    CPC classification number: G06K9/6253 G06N20/00

    Abstract: A classification system automatically generates an indication that a training feature vector case is a pollutant based on a mis-labelled reference image. It excludes the case from the set, builds a k-nearest neighbour confidence classifier, and then classifies the case using this classifier. The case may be marked as suspect if its classification does not match what is determined, or if they do match, if the confidence level is below a threshold. The system can automatically remove or re-label all suspect cases.

    Abstract translation: 分类系统基于错误标记的参考图像自动生成训练特征向量情况是污染物的指示。 它从集合中排除案例,构建k最近邻信任分类器,然后使用此分类器对案例进行分类。 如果其分类与置信水平低于阈值,则其分类与所确定的分类不匹配,或者如果它们匹配,则该情况可被标记为可疑。 系统可以自动删除或重新标记所有可疑案件。

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