199 search results - page 3 / 40 » Accuracy of distance metric learning algorithms |
110
Voted
CVPR
2008
IEEE
16 years 8 days ago
2008
IEEE
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...
102
Voted
ECCV
2008
Springer
16 years 4 days ago
2008
Springer
Head pose estimation is an important task for many face analysis applications, such as face recognition systems and human computer interactions. In this paper we aim to address the...
111
Voted
WIRN
2005
Springer
15 years 3 months ago
2005
Springer
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
74
Voted
CVPR
2006
IEEE
16 years 8 days ago
2006
IEEE
Relevant Component Analysis (RCA) has been proposed for learning distance metrics with contextual constraints for image retrieval. However, RCA has two important disadvantages. On...
107
Voted
KDD
2007
ACM
15 years 10 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...