Genetic Programming for Manifold Learning: Preserving Local Topology.
Andrew LensenBing XueMengjie ZhangPublished in: IEEE Trans. Evol. Comput. (2022)
Keyphrases
- manifold learning
- genetic programming
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- diffusion maps
- high dimensional
- evolutionary algorithm
- semi supervised
- subspace learning
- dimension reduction
- laplacian eigenmaps
- feature extraction
- genetic algorithm
- manifold structure
- high dimensional data
- manifold embedding
- data sets
- head pose estimation
- manifold learning algorithm
- sparse representation
- semi supervised learning
- principal component analysis
- nearest neighbor
- low dimensional manifolds
- locality preserving
- feature space
- pattern recognition
- image processing