Show
Sort by
-
- Journal Article
- open access
Otolith identification using a deep hierarchical classification model
-
Scalable large-margin distance metric learning using stochastic gradient descent
-
Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling
-
Assessing the potential of the qualitative trajectory calculus to detect gait pathologies : a case study of children with developmental coordination disorder
-
Learning singleācell distances from cytometry data
-
Supervised distance metric learning for pattern recognition
(2019) -
Kernel-based distance metric learning for supervised k-means clustering
-
An efficient method for clustered multi-metric learning
-
Kernel distance metric learning using pairwise constraints for person re-identification
-
Distance metric learning for ordinal classification based on triplet constraints