Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure.
Zeyu WeiYen-Chi ChenPublished in: CoRR (2023)
Keyphrases
- manifold structure
- graph laplacian
- manifold learning
- low dimensional
- geometrical structure
- semi supervised learning
- sparse coding
- spectral clustering
- regression model
- graph embedding
- geometric structure
- dimensionality reduction
- data points
- model selection
- low rank
- riemannian manifolds
- latent space
- high dimensional data
- pairwise
- probabilistic latent semantic analysis
- least squares