https://github.com/bellet/hdsl

High-Dimensional Similarity Learning
https://github.com/bellet/hdsl

high-dimensional-data machine-learning metric-learning similarity-learning sparse-data

Last synced: about 1 month ago
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High-Dimensional Similarity Learning

• Host: GitHub
• URL: https://github.com/bellet/hdsl
• Owner: bellet
• License: gpl-3.0
• Created: 2019-09-03T07:05:22.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-09-03T07:33:07.000Z (over 5 years ago)
• Last Synced: 2024-10-28T14:37:29.264Z (3 months ago)
• Topics: high-dimensional-data, machine-learning, metric-learning, similarity-learning, sparse-data
• Language: MATLAB
• Size: 1.35 MB
• Stars: 4
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# High-Dimensional Similarity Learning

HDSL is a Matlab/MEX implementation of the similarity learning method

introduced in our [AISTATS 2015](http://researchers.lille.inria.fr/abellet/papers/aistats15.pdf) (see also the longer [journal version](http://researchers.lille.inria.fr/abellet/papers/neurocomp19.pdf)). HDSL

allows scalable learning of sparse bilinear similarity functions on

high-dimensional data.

HDSL is distributed under GNU/GPL 3 license.

## Getting started

To install and run a demo, please use inside the Matlab console

```

install

demo_HDSL

```

## References

If you use this code in scientific work, please cite:

- K. Liu, A. Bellet and F. Sha. *Similarity Learning for High-Dimensional Sparse Data*. International Conference on Artificial Intelligence and

Statistics (AISTATS), 2015.

- K. Liu and A. Bellet. *Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds*. Neurocomputing 333:185-199, 2019.