https://github.com/facusapienza21/fermat-distance
We propose a density-based estimator for weighted geodesic distances suitable for data lying on a manifold of lower dimension than ambient space and sampled from a possibly nonuniform distribution
https://github.com/facusapienza21/fermat-distance
manifold-learning metric-learning
Last synced: 2 months ago
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We propose a density-based estimator for weighted geodesic distances suitable for data lying on a manifold of lower dimension than ambient space and sampled from a possibly nonuniform distribution
- Host: GitHub
- URL: https://github.com/facusapienza21/fermat-distance
- Owner: facusapienza21
- Created: 2018-05-22T22:07:28.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2018-11-15T17:50:16.000Z (over 6 years ago)
- Last Synced: 2025-03-26T21:47:00.885Z (3 months ago)
- Topics: manifold-learning, metric-learning
- Language: Python
- Homepage: https://openreview.net/forum?id=BJfaMIJwG
- Size: 1.81 MB
- Stars: 15
- Watchers: 2
- Forks: 3
- Open Issues: 0