Generalizable Supervised Manifold Learning via Lipschitz continuous interpolators.
Cem OrnekElif VuralPublished in: MLSP (2018)
Keyphrases
- manifold learning
- semi supervised
- discriminant projection
- dimensionality reduction
- manifold learning algorithm
- nonlinear dimensionality reduction
- low dimensional
- dimension reduction
- high dimensional
- semi supervised learning
- feature extraction
- unsupervised learning
- neighborhood preserving embedding
- labeled data
- supervised learning
- diffusion maps
- laplacian eigenmaps
- high dimensional data
- head pose estimation
- pairwise
- subspace learning
- data sets
- label information
- image processing
- geodesic distance
- learning algorithm
- locally linear embedding
- computer vision
- locality preserving
- sparse representation
- machine learning
- neural network
- preprocessing