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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: 13 days 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

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