2245 search results - page 23 / 449 » Metrics that Learn Relevance |
TNN
2010
13 years 2 months ago
2010
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...
EWCBR
2004
Springer
2004
Springer
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions
14 years 1 months ago
A fundamental problem for case-based reasoning systems is how to select relevant prior cases. Numerous strategies have been developed for determining the similarity of prior cases,...