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US08649613B1 Multiple-instance-learning-based video classification 有权
基于多实例学习的视频分类

Multiple-instance-learning-based video classification
Abstract:
A classifier training system trains unified classifiers for categorizing videos representing different categories of a category graph. The unified classifiers unify the outputs of a number of separate initial classifiers trained from disparate subsets of a training set of media items. The training process divides the training set into a number of bags, and applies a boosting algorithm to the bags, thus enhancing the accuracy of the unified classifiers.
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