Near-isometric linear embeddings of manifolds.
Chinmay HegdeAswin C. SankaranarayananRichard G. BaraniukPublished in: SSP (2012)
Keyphrases
- manifold learning
- euclidean space
- low dimensional
- nonlinear manifold
- dimensionality reduction
- hilbert space
- high dimensional
- shape analysis
- finite dimensional
- dimension reduction
- manifold structure
- nonlinear dimensionality reduction
- data points
- vector space
- riemannian manifolds
- higher dimensional
- data sets
- underlying manifold
- semi supervised
- high dimensional data
- closed form
- low dimensional spaces
- principal component analysis
- neural network
- metric space
- head pose estimation
- appearance manifolds
- manifold embedding