Deep Nets for Local Manifold Learning.
Charles K. ChuiHrushikesh N. MhaskarPublished in: Frontiers Appl. Math. Stat. (2018)
Keyphrases
- manifold learning
- subspace learning
- diffusion maps
- nonlinear dimensionality reduction
- low dimensional
- head pose estimation
- semi supervised
- dimensionality reduction
- dimension reduction
- high dimensional
- feature extraction
- laplacian eigenmaps
- feature space
- manifold structure
- high dimensional data
- sparse representation
- locality preserving
- manifold learning algorithm
- discriminant projection
- intrinsic manifold
- locally linear embedding
- geodesic distance
- preprocessing
- computer vision
- neural network
- embedding space
- multiscale
- manifold embedding
- data mining
- data sets