Manifold Learning via the Principle Bundle Approach.
Chen-Yun LinArin MinasianXin Jessica QiHau-Tieng WuPublished in: Frontiers Appl. Math. Stat. (2018)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- semi supervised
- nonlinear dimensionality reduction
- subspace learning
- high dimensional data
- high dimensional
- diffusion maps
- laplacian eigenmaps
- dimension reduction
- manifold learning algorithm
- feature extraction
- manifold structure
- sparse representation
- discriminant projection
- image processing
- head pose estimation
- locality preserving
- low dimensional manifolds
- intrinsic manifold
- embedding space
- locality preserving projections
- latent space
- geodesic distance
- semi supervised learning
- manifold embedding
- unsupervised learning
- pattern recognition
- face recognition