Online multitask relative similarity learning

• Main Authors: HAO, Shuji, ZHAO, Peilin, LIU, Yong, HOI, Steven C. H., MIAO, Chunyan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Artificial intelligence; E-learning; Active-learning algorithm; Learning approach; Online learning algorithms; Real-world datasets; Similarity functions; Similarity learning; Specific tasks; Theoretical guarantees; Learning algorithms; Artificial Intelligence and Robotics; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/3846; https://ink.library.smu.edu.sg/context/sis_research/article/4848/viewcontent/0253.pdf
• Institution: Singapore Management University

Relative similarity learning (RSL) aims to learn similarity functions from data with relative constraints. Most previous algorithms developed for RSL are batch-based learning approaches which suffer from poor scalability when dealing with real world data arriving sequentially. These methods are ofte...