Batch mode adaptive multiple instance learning for computer vision tasks

• Main Authors: Li, Wen, Duan, Lixin, Tsang, Ivor Wai-Hung, Xu, Dong
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/98431; http://hdl.handle.net/10220/12473
• Institution: Nanyang Technological University

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...