Large-scale SVD and manifold learning.
Ameet TalwalkarSanjiv KumarMehryar MohriHenry A. RowleyPublished in: J. Mach. Learn. Res. (2013)
Keyphrases
- manifold learning
- dimensionality reduction
- dimension reduction
- singular value decomposition
- high dimensional
- low dimensional
- nonlinear dimensionality reduction
- subspace learning
- semi supervised
- diffusion maps
- manifold learning algorithm
- feature extraction
- laplacian eigenmaps
- high dimensional data
- principal component analysis
- least squares
- geodesic distance
- head pose estimation
- data sets
- locally linear embedding
- sparse representation
- feature space
- manifold structure
- locality preserving
- discriminant projection
- high dimensionality
- feature vectors
- computer vision