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Found 3 papers, 1 papers with code
Learning Hash Function through Codewords
In this paper, we propose a novel hash learning approach that has the following main distinguishing features, when compared to past frameworks.
Reduced-Rank Local Distance Metric Learning for k-NN Classification
We propose a new method for local distance metric learning based on sample similarity as side information.
Hash Function Learning via Codewords
In this paper we introduce a novel hash learning framework that has two main distinguishing features, when compared to past approaches.
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