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Method of Multiple Instance Learning and Classification With Correlations in Object Detection
Method of Multiple Instance Learning and Classification With Correlations in Object Detection
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机译:目标检测中具有相关性的多实例学习与分类方法
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摘要
A method for detecting an object within a structure includes performing tobogganing on image data to obtain one or more voxel clusters and to provide a rough indication of the structure. Each of the obtained voxel clusters is characterized as an object candidate and a set of features are determined for each object candidate. Correlations between pairs of the object candidates are measured. Each of the object candidates is classified as either a true object or a non-object based on the set of features and the measured correlations.
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