Learning on manifolds without manifold learning.
Hrushikesh N. MhaskarRyan O'DowdPublished in: CoRR (2024)
Keyphrases
- manifold learning
- nonlinear dimensionality reduction
- dimensionality reduction
- low dimensional
- learning process
- diffusion maps
- laplacian eigenmaps
- unsupervised learning
- low dimensional manifolds
- feature extraction
- high dimensional
- semi supervised
- supervised learning
- learning algorithm
- manifold structure
- geodesic distance
- dimension reduction
- high dimensional data
- decision trees
- neural network
- subspace learning
- training data
- face recognition
- feature mapping
- manifold embedding