Manifold Learning in Quotient Spaces.
Éloi MehrAndré LieutierFernando Sanchez BermudezVincent GuittenyNicolas ThomeMatthieu CordPublished in: CVPR (2018)
Keyphrases
- manifold learning
- riemannian manifolds
- low dimensional
- dimensionality reduction
- latent space
- embedding space
- semi supervised
- high dimensional
- dimension reduction
- nonlinear dimensionality reduction
- high dimensional data
- subspace learning
- sparse representation
- feature extraction
- diffusion maps
- geodesic distance
- manifold structure
- manifold learning algorithm
- laplacian eigenmaps
- head pose estimation
- discriminant projection
- locality preserving
- principal component analysis
- feature space
- nonlinear manifold
- preprocessing