733 search results - page 24 / 147 » Learning Riemannian Metrics |
ECTEL
2007
Springer
14 years 2 months ago
2007
Springer
— The main objetive of this paper is to improve the current status of learning object search. First, the current situation is analyzed and a theretical solution, based on relevan...
PCM
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. The semantic contextual information is shown to be an important resource for improving the scene and image recognition, but is seldom explored in the literature of previo...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Distance metric learning and nonlinear dimensionality reduction are two interesting and active topics in recent years. However, the connection between them is not thoroughly studi...
NIPS
2008
13 years 10 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...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...