Applications of No-Collision Transportation Maps in Manifold Learning.
Elisa NegriniLevon NurbekyanPublished in: CoRR (2023)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- laplacian eigenmaps
- semi supervised
- diffusion maps
- subspace learning
- nonlinear dimensionality reduction
- dimension reduction
- high dimensional
- head pose estimation
- locality preserving
- feature extraction
- geodesic distance
- sparse representation
- manifold learning algorithm
- manifold structure
- high dimensional data
- feature space
- locally linear embedding
- signal processing
- principal component analysis
- support vector machine
- training set
- low dimensional manifolds
- support vector
- face recognition
- learning algorithm