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- Journal Article
- open access
Otolith identification using a deep hierarchical classification model
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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 distance metric learning using pairwise constraints for person re-identification
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An efficient method for clustered multi-metric learning
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Kernel-based distance metric learning for supervised k-means clustering
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Assessing the potential of the qualitative trajectory calculus to detect gait pathologies : a case study of children with developmental coordination disorder
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Supervised distance metric learning for pattern recognition
(2019) -
Learning single‐cell distances from cytometry data
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Distance metric learning for ordinal classification based on triplet constraints
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An approach to supervised distance metric learning based on difference of convex functions programming
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- Conference Paper
- C1
- open access
Distance metric learning : a two-phase approach
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Distance metric learning with the Universum
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Supervised distance metric learning through maximization of the Jeffrey divergence
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Large-scale distance metric learning for k-nearest neighbors regression