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    • 6. 发明授权
    • Multi-label multi-instance learning for image classification
    • 用于图像分类的多标签多实例学习
    • US08249366B2
    • 2012-08-21
    • US12140247
    • 2008-06-16
    • Tao MeiXian-Sheng HuaShipeng LiZheng-Jun Zha
    • Tao MeiXian-Sheng HuaShipeng LiZheng-Jun Zha
    • G06K9/00
    • G06K9/4638G06K9/342
    • Described is a technology by which an image is classified (e.g., grouped and/or labeled), based on multi-label multi-instance data learning-based classification according to semantic labels and regions. An image is processed in an integrated framework into multi-label multi-instance data, including region and image labels. The framework determines local association data based on each region of an image. Other multi-label multi-instance data is based on relationships between region labels of the image, relationships between image labels of the image, and relationships between the region and image labels. These data are combined to classify the image. Training is also described.
    • 基于根据语义标签和区域的基于多标签多实例数据学习的分类,描述了图像被分类(例如,分组和/或标记)的技术。 图像在集成框架中被处理成多标签多实例数据,包括区域和图像标签。 该框架基于图像的每个区域确定局部关联数据。 其他多标签多实例数据基于图像的区域标签之间的关系,图像的图像标签之间的关系以及区域和图像标签之间的关系。 组合这些数据以对图像进行分类。 培训也被描述。