Can Genetic Programming Do Manifold Learning Too?
Andrew LensenBing XueMengjie ZhangPublished in: CoRR (2019)
Keyphrases
- manifold learning
- genetic programming
- low dimensional
- diffusion maps
- nonlinear dimensionality reduction
- semi supervised
- dimensionality reduction
- high dimensional
- dimension reduction
- evolutionary algorithm
- subspace learning
- feature extraction
- high dimensional data
- laplacian eigenmaps
- sparse representation
- manifold learning algorithm
- geodesic distance
- head pose estimation
- graph embedding
- discriminant projection
- discriminant embedding
- data points
- locally linear embedding
- manifold structure
- pattern recognition
- locality preserving
- neural network
- intrinsic manifold
- embedding space
- training data
- face recognition