Bilevel Distance Metric Learning for Robust Image Recognition

NeurIPS 2018 Jie XuLei LuoCheng DengHeng Huang

Metric learning, aiming to learn a discriminative Mahalanobis distance matrix M that can effectively reflect the similarity between data samples, has been widely studied in various image recognition problems. Most of the existing metric learning methods input the features extracted directly from the original data in the preprocess phase... (read more)

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