733 search results - page 20 / 147 » Learning Riemannian Metrics |
ATAL
2011
Springer
12 years 7 months ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
CVPR
2008
IEEE
14 years 9 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...
TIFS
2010
13 years 2 months ago
2010
This paper considers a distance metric learning (DML) algorithm for a fingerprinting system, which identifies a query content by finding the fingerprint in the database (DB) that m...
IJCAI
2007
13 years 9 months ago
2007
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...