Learning Distance Metrics with Contextual Constraints for Image Retrieval

• المؤلفون الرئيسيون: HOI, Steven C. H., LIU, Wei, LYU, Michael R., MA, Wei-Ying
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2006
• الموضوعات: 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
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/2392; https://ink.library.smu.edu.sg/context/sis_research/article/3392/viewcontent/CVPR06_LiuWei.pdf

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...