Metric Learning for Combinatorial Datasets
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Updated
Jan 10, 2020 - MATLAB
Metric Learning for Combinatorial Datasets
NIPS12-Hamming Distance Metric Learning with Non-linear Projection
[Neurocomputing'15] Unsupervised neighborhood component analysis for clustering
The code for large margin metric learning for nearest neighbor classification and its acceleration using triplet mining and stratified sampling
An approach to supervised distance metric learning based on difference of convex functions programming
Kernel Distance Metric Learning using Pairwise Constraints for Person Re-Identification
We propose a global and local feature transformation method for PRID. The global feature transformation matrix projects the data from different cameras to a common space. We further hypothesize that a latent basis matrix can be learnt in this space which represents the shared structure between different cameras using matrix factorization.
Distance metric learning with the Universum
Sparse Compositional Metric Learning
Supervised distance metric learning through maximization of the Jeffrey divergence
High-Dimensional Similarity Learning
Matlab Code for this paper of IJCAI 2018
Sparse Bayesian Metric Learning
Unsupervised Distance Metric Learning ToolKits in Matlab
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning
A Matlab implementation of our previously published work in IEEE Trans. Big Data (TBD)
Code for Supervised Word Mover's Distance (SWMD)
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