Semi-supervised heterogeneous fusion for multimedia data co-clustering

• Main Authors: MENG, Lei, TAN, Ah-hwee, XU, Dong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Semi-supervised learning; heterogeneous data co-clustering; multimedia data mining; Databases and Information Systems; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/5231; https://ink.library.smu.edu.sg/context/sis_research/article/6234/viewcontent/Semi_Supervised_Heterogeneous_Fusion___TKDE_2014.pdf
• Institution: Singapore Management University

Co-clustering is a commonly used technique for tapping the rich meta-information of multimedia web documents, including category, annotation, and description, for associative discovery. However, most co-clustering methods proposed for heterogeneous data do not consider the representation problem of...