Semi-supervised hashing with semantic confidence for large scale visual search

• Main Authors: PAN, Yingwei, YAO, Ting, LI, Houqiang, NGO, Chong-wah, MEI, Tao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Click-through data; Hashing; Neighbor voting; Semi-supervised hashing; Similarity learning; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6505; https://ink.library.smu.edu.sg/context/sis_research/article/7508/viewcontent/2766462.2767725.pdf
• Institution: Singapore Management University

Similarity search is one of the fundamental problems for large scale multimedia applications. Hashing techniques, as one popular strategy, have been intensively investigated owing to the speed and memory efficiency. Recent research has shown that leveraging supervised information can lead to high qu...