Radial basis approximation of tensor fields on manifolds: From operator estimation to manifold learning.
John HarlimShixiao Willing JiangJohn Wilson PeoplesPublished in: CoRR (2022)
Keyphrases
- manifold learning
- tensor field
- dimensionality reduction
- low dimensional
- low dimensional manifolds
- semi supervised
- laplacian eigenmaps
- intrinsic dimensionality
- high dimensional
- dimension reduction
- feature extraction
- high dimensional data
- manifold structure
- geodesic distance
- sparse representation
- machine learning
- principal component analysis
- image segmentation