Manifold Learning by Curved Cosine Mapping.
Huamao GuXun WangXuewen ChenShaoping DengJin-Qin ShiPublished in: IEEE Trans. Knowl. Data Eng. (2017)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- embedding space
- nonlinear dimensionality reduction
- semi supervised
- dimension reduction
- diffusion maps
- feature extraction
- subspace learning
- high dimensional
- high dimensional data
- euclidean distance
- laplacian eigenmaps
- manifold learning algorithm
- latent space
- locality preserving
- sparse representation
- low dimensional manifolds
- feature vectors
- feature space
- head pose estimation
- manifold structure
- image processing
- geodesic distance
- riemannian manifolds
- similarity measure
- vector space
- manifold embedding
- computer vision
- discriminant projection
- euclidean space
- input space
- pattern recognition