Co-labeling : a new multi-view learning approach for ambiguous problems

• Main Authors: Duan, Lixin, Tsang, Ivor Wai-Hung, Xu, Dong, Li, Wen
• 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/10356/99661; http://hdl.handle.net/10220/13032
• Institution: Nanyang Technological University

We propose a multi-view learning approach called co-labeling which is applicable for several machine learning problems where the labels of training samples are uncertain, including semi-supervised learning (SSL), multi-instance learning (MIL) and max-margin clustering (MMC). Particularly, we first u...