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    Method and computer program product for identifying output classes with multi-modal dispersion in feature space and incorporating multi-modal structure into a pattern recognition system
    3.
    发明授权
    Method and computer program product for identifying output classes with multi-modal dispersion in feature space and incorporating multi-modal structure into a pattern recognition system 失效
    用于在特征空间中识别具有多模态色散的输出类别并将多模式结构并入模式识别系统的方法和计算机程序产品

    公开(公告)号：US07233692B2

    公开(公告)日：2007-06-19

    申请号：US10294859

    申请日：2002-11-14

    申请人： David L. Li ,  Elliott D. Reitz, II ,  Dennis A. Tillotson

    发明人： David L. Li ,  Elliott D. Reitz, II ,  Dennis A. Tillotson

    IPC分类号： G06K9/62

    CPC分类号： G06K9/628

    摘要： A method and computer program product are disclosed for identifying output classes with multi-modal dispersion in feature space and incorporating multi-modal structure into a pattern recognition system architecture. A plurality of input patterns, determined not to be associated with any of a set of at least one represented output class by a pattern recognition classifier, are rejected. The rejected pattern samples are grouped into clusters according to the similarities between the pattern samples. Clusters that contain samples associated with a represented output class are identified via independent review. The classifier is then retrained to recognize the identified clusters as output pseudoclasses separate from the represented output class with which they are associated. The system architecture is reorganized to incorporate the output pseudoclasses. The output pseudoclasses are rejoined to their associated class after classification.

    摘要翻译： 公开了一种方法和计算机程序产品，用于在特征空间中识别具有多模式色散的输出类别，并将多模式结构并入模式识别系统架构。 确定不与模式识别分类器的至少一个表示的输出类的集合中的任何一个相关联的多个输入模式被拒绝。 根据模式样本之间的相似性，拒绝的模式样本被分组成簇。 通过独立审查来识别包含与代表输出类相关联的样本的集群。 然后再分类器将所识别的群集识别为与它们相关联的所表示的输出类别分离的输出伪类。 系统架构被重新组合以合并输出伪类。 输出伪类在分类后重新连接到相关类。