Batch mode adaptive multiple instance learning for computer vision tasks

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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書目詳細資料
Main Authors:	Li, Wen, Duan, Lixin, Tsang, Ivor Wai-Hung, Xu, Dong
其他作者:	School of Computer Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2013
主題:	DRNTU::Engineering::Computer science and engineering
在線閱讀:	https://hdl.handle.net/10356/98431 http://hdl.handle.net/10220/12473
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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