Batch mode adaptive multiple instance learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance labels in positive bags, the training process of traditional MIL methods is usually computationally expensive, which limits th...
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Main Authors: | , , , |
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格式: | Conference or Workshop Item |
語言: | English |
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2013
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在線閱讀: | https://hdl.handle.net/10356/98431 http://hdl.handle.net/10220/12473 |
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