A unified probabilistic framework for robust manifold learning and embedding.
Qi MaoLi WangIvor W. TsangPublished in: Mach. Learn. (2017)
Keyphrases
- manifold learning
- nonlinear dimensionality reduction
- laplacian eigenmaps
- manifold embedding
- embedding space
- low dimensional
- data embedding
- nonlinear manifold learning
- dimensionality reduction
- geodesic distance
- locality preserving projections
- low dimensional manifolds
- diffusion maps
- dimension reduction
- semi supervised
- high dimensional data
- high dimensional
- head pose estimation
- discriminant embedding
- subspace learning
- latent space
- locally linear embedding
- sparse representation
- locality preserving
- graph embedding
- computer vision
- shortest path
- principal component analysis
- feature space
- feature selection