Manifold Learning with Contracting Observers for Data-driven Time-series Analysis.
Tal ShnitzerRonen TalmonJean-Jacques E. SlotinePublished in: CoRR (2016)
Keyphrases
- manifold learning
- data driven
- low dimensional
- dimensionality reduction
- high dimensional
- semi supervised
- nonlinear dimensionality reduction
- feature extraction
- subspace learning
- dimension reduction
- diffusion maps
- high dimensional data
- laplacian eigenmaps
- feature space
- head pose estimation
- sparse representation
- manifold learning algorithm
- locality preserving
- discriminant embedding
- face recognition
- locality preserving projections
- manifold structure
- embedding space
- locally linear embedding
- riemannian manifolds
- geodesic distance
- image representation
- nonlinear manifold
- image classification