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    • 10. 发明授权
    • Method and system for generating a classifier using inter-sample relationships
    • 使用样本间关系生成分类器的方法和系统
    • US07519217B2
    • 2009-04-14
    • US10997073
    • 2004-11-23
    • Tie-Yan LiuZhike KongHong-Jiang Zhang
    • Tie-Yan LiuZhike KongHong-Jiang Zhang
    • G06K9/62G06K9/68
    • G06K9/00711G06K9/6292
    • A method and system for generating a classifier to classify sub-objects of an object based on a relationship between sub-objects is provided. The classification system provides training sub-objects along with the actual classification of each training sub-object. The classification system may iteratively train sub-classifiers based on feature vectors representing the features of each sub-object, the actual classification of the sub-object, and a weight associated with the sub-object. After a sub-classifier is trained, the classification system classifies the training sub-objects using the trained sub-classifier. The classification system then adjusts the classifications based on relationships between training sub-objects. The classification system assigns a weight for the sub-classifier and weight for each sub-object based on the accuracy of the adjusted classifications.
    • 提供了一种用于生成分类器以根据子对象之间的关系对对象的子对象进行分类的方法和系统。 分类系统提供训练子对象以及每个训练子对象的实际分类。 分类系统可以基于表示每个子对象的特征,子对象的实际分类以及与子对象相关联的权重的特征向量迭代地训练子分类器。 在训练子分类器之后,分类系统使用经过训练的子分类器对训练子对象进行分类。 然后,分类系统基于训练子对象之间的关系来调整分类。 分类系统根据调整后的分类的准确性为每个子对象分配子分类器的权重和权重。