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» An Efficient Algorithm for Local Distance Metric Learning
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SBBD
2004
89views Database» more  SBBD 2004»
14 years 11 months ago
DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density Data
Metric Access Methods (MAM) are employed to accelerate the processing of similarity queries, such as the range and the k-nearest neighbor queries. Current methods improve the quer...
Marcos R. Vieira, Caetano Traina Jr., Fabio Jun Ta...
CVPR
2008
IEEE
15 years 11 months ago
Rank-based distance metric learning: An application to image retrieval
We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...
Jung-Eun Lee, Rong Jin, Anil K. Jain
ICIP
2008
IEEE
15 years 11 months ago
Learning distance metric for semi-supervised image segmentation
Semi-supervised image segmentation is an important issue in many image processing applications, and has been a popular research area recently, the most popular are graph-based met...
Yangqing Jia, Changshui Zhang
ICML
2009
IEEE
15 years 10 months ago
Learning instance specific distances using metric propagation
In many real-world applications, such as image retrieval, it would be natural to measure the distances from one instance to others using instance specific distance which captures ...
De-Chuan Zhan, Ming Li, Yu-Feng Li, Zhi-Hua Zhou
CVPR
2006
IEEE
15 years 11 months ago
Learning Distance Metrics with Contextual Constraints for Image Retrieval
Relevant Component Analysis (RCA) has been proposed for learning distance metrics with contextual constraints for image retrieval. However, RCA has two important disadvantages. On...
Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Yin...