An approach to supervised distance metric learning based on difference of convex functions programming
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Updated
Sep 14, 2018 - MATLAB
An approach to supervised distance metric learning based on difference of convex functions programming
Sparse Compositional Metric Learning
Distance metric learning with the Universum
NIPS12-Hamming Distance Metric Learning with Non-linear Projection
High-Dimensional Similarity Learning
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.
Supervised distance metric learning through maximization of the Jeffrey divergence
Metric Learning for Combinatorial Datasets
[Neurocomputing'15] Unsupervised neighborhood component analysis for clustering
[IJCAI 2018] "Towards Generalized and Efficient Metric Learning on Riemannian Manifold"
Kernel Distance Metric Learning using Pairwise Constraints for Person Re-Identification
Unsupervised Distance Metric Learning ToolKits in Matlab
A Matlab implementation of our previously published work in IEEE Trans. Big Data (TBD)
Sparse Bayesian Metric Learning
The code for large margin metric learning for nearest neighbor classification and its acceleration using triplet mining and stratified sampling
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning
Code for CVPR 2019 paper "Deep Metric Learning to Rank"
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