Tangent space and dimension estimation with the Wasserstein distance
Consider a set of points sampled independently near a smooth compact submanifold of Euclidean space. We provide mathematically rigorous bounds on the number of sample points required to estimate both the dimension and the tangent spaces of that manifold with high confidence. The algorithm for this e...
Asıl Yazarlar: | Lim, U, Oberhauser, H, Nanda, V |
---|---|
Materyal Türü: | Journal article |
Dil: | English |
Baskı/Yayın Bilgisi: |
Society for Industrial and Applied Mathematics
2024
|
Benzer Materyaller
-
Tangent space and dimension estimation with the Wasserstein distance
Yazar:: Lim, U, ve diğerleri
Baskı/Yayın Bilgisi: (2021) -
Wasserstein distance estimates for jump-diffusion processes
Yazar:: Breton, Jean-Christophe, ve diğerleri
Baskı/Yayın Bilgisi: (2024) -
Estimation of Wasserstein distances in the Spiked Transport Model
Yazar:: Niles-Weed, Jonathan, ve diğerleri
Baskı/Yayın Bilgisi: (2022) -
The Quantum Wasserstein Distance of Order 1
Yazar:: De Palma, Giacomo, ve diğerleri
Baskı/Yayın Bilgisi: (2022) -
Explainable AI Using the Wasserstein Distance
Yazar:: Shion Samadder Chaudhury, ve diğerleri
Baskı/Yayın Bilgisi: (2024-01-01)