Semi-supervised distance metric learning for collaborative image retrieval and clustering

• Main Authors: HOI, Steven C. H., LIU, Wei, CHANG, Shih-Fu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: Distance metric learning; content-based image retrieval; multimedia data clustering; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/2307; https://ink.library.smu.edu.sg/context/sis_research/article/3307/viewcontent/Semi_Supervised_Distance_Metric_Learning_for_Collaborative_Image_Retrieval_and_Clustering.pdf
• Institution: Singapore Management University

Learning a good distance metric plays a vital role in many multimedia retrieval and data mining tasks. For example, a typical content-based image retrieval (CBIR) system often relies on an effective distance metric to measure similarity between any two images. Conventional CBIR systems simply adopti...