Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds.
Nitesh ShroffPavan K. TuragaRama ChellappaPublished in: NIPS (2011)
Keyphrases
- manifold learning
- low dimensional
- manifold structure
- euclidean space
- riemannian manifolds
- tangent space
- manifold embedding
- manifold alignment
- monte carlo
- low dimensional manifolds
- parameter space
- laplacian eigenmaps
- locally linear
- nonlinear dimensionality reduction
- high dimensional
- simulated annealing
- principal curves
- lie group
- geometric structure
- dimensionality reduction
- nonlinear manifold
- geodesic distance
- sample size
- sampling algorithm
- manifold learning algorithm
- semi supervised
- dimension reduction
- random sampling
- information geometry
- appearance manifolds
- smooth manifold
- intrinsic dimensionality
- data points
- head pose estimation
- graph laplacian
- configuration space
- diffusion maps
- sampling methods
- linear subspace
- lower dimensional
- sparse representation
- particle filter
- principal component analysis
- feature space