Genetic Programming for Manifold Learning: Preserving Local Topology.
Andrew LensenBing XueMengjie ZhangPublished in: CoRR (2021)
Keyphrases
- manifold learning
- genetic programming
- low dimensional
- dimensionality reduction
- dimension reduction
- semi supervised
- nonlinear dimensionality reduction
- high dimensional data
- high dimensional
- head pose estimation
- diffusion maps
- manifold learning algorithm
- evolutionary algorithm
- feature extraction
- laplacian eigenmaps
- feature space
- subspace learning
- manifold structure
- manifold embedding
- low dimensional manifolds
- data sets
- discriminant projection
- signal processing
- genetic algorithm
- neural network
- riemannian manifolds
- sparse representation
- active learning
- feature selection
- computer vision