2245 search results - page 23 / 449 » Metrics that Learn Relevance |
118
Voted
TNN
2010
14 years 10 months ago
2010
173
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ATAL
2011
Springer
14 years 3 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-...
128
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CVPR
2008
IEEE
16 years 5 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...
157
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TIFS
2010
14 years 10 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...
106
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EWCBR
2004
Springer
2004
Springer
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions
15 years 9 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,...