Geometric Manifold Learning.
Arta A. JamshidiMichael J. KirbyDavid S. BroomheadPublished in: IEEE Signal Process. Mag. (2011)
Keyphrases
- manifold learning
- low dimensional
- diffusion maps
- semi supervised
- dimensionality reduction
- nonlinear dimensionality reduction
- high dimensional
- laplacian eigenmaps
- dimension reduction
- subspace learning
- feature extraction
- high dimensional data
- manifold learning algorithm
- sparse representation
- geometric structure
- geodesic distance
- locally linear embedding
- head pose estimation
- intrinsic manifold
- manifold structure
- image classification
- locality preserving projections
- feature space
- data mining
- least squares
- manifold embedding
- similarity measure
- nonlinear manifold