An Empirical Study on the Performance of Spectral Manifold Learning Techniques.
Peter MyslingSøren HaubergKim Steenstrup PedersenPublished in: ICANN (1) (2011)
Keyphrases
- manifold learning
- spectral methods
- low dimensional
- nonlinear dimensionality reduction
- dimensionality reduction
- high dimensional
- diffusion maps
- dimension reduction
- semi supervised
- head pose estimation
- subspace learning
- high dimensional data
- feature extraction
- sparse representation
- laplacian eigenmaps
- manifold learning algorithm
- geodesic distance
- manifold structure
- spectral analysis
- locality preserving
- discriminant projection
- locally linear embedding
- data sets
- principal component analysis
- feature space
- preprocessing
- nonlinear manifold