Semi-supervised hierarchical clustering for personalized web image organization

• Main Authors: MENG, Lei, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6887; https://ink.library.smu.edu.sg/context/sis_research/article/7890/viewcontent/Semi_supervisedHierarchicalClusteringforPersonalizedWebImageOrganization.pdf
• Institution: Singapore Management University

Existing efforts on web image organization usually transform the task into surrounding text clustering. However, Current text clustering algorithms do not address the problem of insufficient statistical information for image representation and noisy tags which greatly decreases the clustering perfor...