Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality.
Andrew LensenMengjie ZhangBing XuePublished in: CoRR (2020)
Keyphrases
- manifold learning
- dimensionality reduction
- high dimensional
- low dimensional
- nonlinear dimensionality reduction
- feature space
- dimension reduction
- subspace learning
- diffusion maps
- semi supervised
- nonlinear manifold
- high dimensional data
- head pose estimation
- manifold structure
- sparse representation
- locally linear embedding
- discriminant projection
- linear discriminant analysis
- feature extraction
- feature selection
- clustering method
- lower dimensional
- principal component analysis
- riemannian manifolds
- dimensionality reduction methods
- least squares
- nearest neighbor
- active learning
- pairwise
- laplacian eigenmaps
- machine learning