Manifold Learning With Contracting Observers for Data-Driven Time-Series Analysis.
Tal ShnitzerRonen TalmonJean-Jacques E. SlotinePublished in: IEEE Trans. Signal Process. (2017)
Keyphrases
- manifold learning
- data driven
- low dimensional
- semi supervised
- dimensionality reduction
- high dimensional
- nonlinear dimensionality reduction
- diffusion maps
- feature extraction
- subspace learning
- dimension reduction
- laplacian eigenmaps
- manifold learning algorithm
- sparse representation
- head pose estimation
- locality preserving
- high dimensional data
- latent space
- locally linear embedding
- feature space
- intrinsic manifold
- image classification
- principal component analysis
- manifold structure
- locality preserving projections
- low dimensional manifolds
- decision trees