Learning Distance Metrics with Contextual Constraints for Image Retrieval

• Main Authors: HOI, Steven C. H., LIU, Wei, LYU, Michael R., MA, Wei-Ying
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2006
• Subjects: Algorithm design and analysis; Asia; Clustering algorithms; Euclidean distance; Image analysis; Image retrieval; Information retrieval; Kernel; Machine learning algorithms; Shape; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2392; https://ink.library.smu.edu.sg/context/sis_research/article/3392/viewcontent/CVPR06_LiuWei.pdf
• Institution: Singapore Management University

Relevant Component Analysis (RCA) has been proposed for learning distance metrics with contextual constraints for image retrieval. However, RCA has two important disadvantages. One is the lack of exploiting negative constraints which can also be informative, and the other is its incapability of capt...