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Feature subset weighting for distance-based supervised learning
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Embedding metric learning into an extreme learning machine for scene recognition
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Scalable large-margin distance metric learning using stochastic gradient descent
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Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling
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Kernel-based distance metric learning for supervised k-means clustering
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Learning single‐cell distances from cytometry data
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Hierarchical metric learning for optical remote sensing scene categorization
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Distance metric learning with the Universum