Noisy manifold learning using neighborhood smoothing embedding.
Junsong YinDewen HuZongtan ZhouPublished in: Pattern Recognit. Lett. (2008)
Keyphrases
- manifold learning
- nonlinear dimensionality reduction
- laplacian eigenmaps
- neighborhood graph
- manifold learning algorithm
- embedding space
- geodesic distance
- data embedding
- manifold embedding
- nonlinear manifold learning
- dimensionality reduction
- low dimensional
- high dimensional
- locality preserving projections
- feature extraction
- discriminant embedding
- semi supervised
- subspace learning
- latent space
- head pose estimation
- dimension reduction
- locally linear embedding
- diffusion maps
- high dimensional data
- noisy data
- low dimensional manifolds
- locality preserving
- vector space
- graph embedding
- sparse representation
- principal component analysis
- graph laplacian
- computer vision