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ACL
2010

Learning Better Data Representation Using Inference-Driven Metric Learning

13 years 9 months ago
Learning Better Data Representation Using Inference-Driven Metric Learning
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by previously proposed unsupervised dimensionality reduction methods (e.g., PCA). Through a variety of experiments on different realworld datasets, we find IDML-IT, a semisupervised metric learning algorithm to be the most effective.
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where ACL
Authors Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer
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