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Thanks for your attention. You could utilize these methods to learn representations. Then the similarity/distance computed from the representations is exploited to calculate the precision-recall curve. You could refer to the code of "calcPreRecRadiusLabel.m
" in https://github.com/jiangqy/DCMH-CVPR2017.git.
Hi, I have some questions in your other paper, How to plot a top@k precision-recall curve(e.g,.apply CCA or DCCA method)? thanks
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