Multiscale regression on unknown manifolds
We consider the regression problem of estimating functions on $ \mathbb{R}^D $ but supported on a $ d $-dimensional manifold $ \mathcal{M} ~~\subset \mathbb{R}^D $ with $ d \ll D $. Drawing ideas from multi-resolution analysis and nonlinear approximation, we construct low-dimensional coordinates o...
Main Authors: | Wenjing Liao, Mauro Maggioni, Stefano Vigogna |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2022-06-01
|
Series: | Mathematics in Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mine.2022028?viewType=HTML |
Similar Items
-
Manifold learning in statistical tasks
by: A.V. Bernstein
Published: (2018-06-01) -
Semisupervised regression in latent structure networks on unknown manifolds
by: Aranyak Acharyya, et al.
Published: (2023-11-01) -
Polynomial Manifold Interpolation for Direction Finding in the Presence of Mutual Coupling
by: Hongtao Duan, et al.
Published: (2019-01-01) -
The Properties of Topological Manifolds of Simplicial Polynomials
by: Susmit Bagchi
Published: (2024-01-01) -
Manifold learning based on kernel density estimation
by: A.P. Kuleshov, et al.
Published: (2018-06-01)