733 search results - page 35 / 147 » Learning Riemannian Metrics |
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...
CVPR
2006
IEEE
14 years 2 months ago
2006
IEEE
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
MMM
2011
Springer
13 years 11 days ago
2011
Springer
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
ICAC
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper introduces a transparent self-configuring architecture for automatic scaling with temperature awareness in the database tier of a dynamic content web server. We use a ...