199 search results - page 1 / 40 » Accuracy of distance metric learning algorithms |
KDD
2009
ACM
14 years 6 months ago
2009
ACM
AAAI
2006
14 years 17 days 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...
ICML
2008
IEEE
14 years 12 months ago
2008
IEEE
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
KDD
2008
ACM
14 years 11 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
NIPS
2008
14 years 18 days ago
2008
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...