Active manifold learning via a unified framework for manifold landmarking.
Hongteng XuLicheng YuMark A. DavenportHongyuan ZhaPublished in: CoRR (2017)
Keyphrases
- manifold learning
- low dimensional
- manifold structure
- nonlinear dimensionality reduction
- diffusion maps
- dimensionality reduction
- manifold learning algorithm
- laplacian eigenmaps
- high dimensional
- high dimensional data
- subspace learning
- geodesic distance
- dimension reduction
- semi supervised
- sparse representation
- head pose estimation
- nonlinear manifold
- locally linear embedding
- intrinsic manifold
- neighborhood graph
- manifold embedding
- feature extraction
- low dimensional manifolds
- locality preserving
- feature space
- latent space
- sparse coding
- input data
- principal curves
- nearest neighbor
- pattern recognition