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Large-scale Distance Metric Learning with Uncertainty

Distance metric learning (DML) has been studied extensively in the past decades for its superior performance with distance-based algorithms. Most of the existing methods propose to learn a distance metric with pairwise or triplet constraints... (read more)

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