Batch mode adaptive multiple instance learning for computer vision tasks

• المؤلفون الرئيسيون: Li, Wen, Duan, Lixin, Tsang, Ivor Wai-Hung, Xu, Dong
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/98431; http://hdl.handle.net/10220/12473

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...