Dimension Estimation and Topological Manifold Learning.
Hajime TasakiReiner LenzJinhui ChaoPublished in: IJCNN (2019)
Keyphrases
- manifold learning
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- semi supervised
- diffusion maps
- feature extraction
- manifold learning algorithm
- laplacian eigenmaps
- feature space
- locality preserving
- sparse representation
- dimension reduction
- subspace learning
- manifold structure
- head pose estimation
- discriminant projection
- high dimensional data
- geodesic distance
- manifold embedding
- semi supervised learning
- data points
- low dimensional manifolds
- pattern recognition
- image processing