Bounded-Distortion Metric Learning

10 May 2015Renjie LiaoJianping ShiZiyang MaJun ZhuJiaya Jia

Metric learning aims to embed one metric space into another to benefit tasks like classification and clustering. Although a greatly distorted metric space has a high degree of freedom to fit training data, it is prone to overfitting and numerical inaccuracy... (read more)

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