Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning.
Ery Arias-CastroAdel JavanmardBruno PelletierPublished in: J. Mach. Learn. Res. (2020)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- diffusion maps
- high dimensional
- semi supervised
- manifold learning algorithm
- dimension reduction
- feature extraction
- laplacian eigenmaps
- head pose estimation
- locality preserving
- locally linear embedding
- high dimensional data
- subspace learning
- sparse representation
- discriminant projection
- shape analysis
- manifold structure
- feature selection
- knn
- feature space
- image processing