Can Genetic Programming Do Manifold Learning Too?
Andrew LensenBing XueMengjie ZhangPublished in: EuroGP (2019)
Keyphrases
- manifold learning
- genetic programming
- low dimensional
- semi supervised
- dimensionality reduction
- nonlinear dimensionality reduction
- high dimensional
- laplacian eigenmaps
- subspace learning
- dimension reduction
- diffusion maps
- evolutionary algorithm
- feature extraction
- manifold structure
- head pose estimation
- high dimensional data
- locally linear embedding
- genetic algorithm
- sparse representation
- manifold embedding
- manifold learning algorithm
- pattern recognition
- locality preserving
- neural network
- discriminant projection
- kernel methods
- riemannian manifolds
- image classification
- signal processing
- feature space
- embedding space
- low dimensional manifolds