199 search results - page 1 / 40 » Accuracy of distance metric learning algorithms |
KDD
2009
ACM
13 years 11 months ago
2009
ACM
AAAI
2006
13 years 5 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...
ICML
2008
IEEE
14 years 5 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 4 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
13 years 5 months 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...