An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding.
Kilian Q. WeinbergerLawrence K. SaulPublished in: AAAI (2006)
Keyphrases
- maximum variance unfolding
- nonlinear dimensionality reduction
- manifold learning
- low dimensional
- dimensionality reduction
- laplacian eigenmaps
- high dimensional data
- metric learning
- locally linear embedding
- high dimensional
- image classification
- data sets
- riemannian manifolds
- image processing
- data points
- principal component analysis
- multi dimensional
- point cloud
- pairwise
- data analysis