79 search results - page 3 / 16 » Efficiently Learning the Metric with Side-Information |
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
AAAI
2006
13 years 6 months ago
2006
Learning application-specific distance metrics from labeled data is critical for both statistical classification and information retrieval. Most of the earlier work in this area h...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Clustering performance can often be greatly improved by
leveraging side information. In this paper, we consider constrained
clustering with pairwise constraints, which specify
s...
PR
2006
13 years 5 months ago
2006
Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...