Multi-objective genetic programming for manifold learning: balancing quality and dimensionality.
Andrew LensenMengjie ZhangBing XuePublished in: Genet. Program. Evolvable Mach. (2020)
Keyphrases
- manifold learning
- dimensionality reduction
- high dimensional
- low dimensional
- semi supervised
- diffusion maps
- high dimensional data
- nonlinear dimensionality reduction
- feature space
- subspace learning
- manifold learning algorithm
- feature extraction
- dimension reduction
- head pose estimation
- data points
- locality preserving
- sparse representation
- linear discriminant analysis
- high dimensionality
- laplacian eigenmaps
- low dimensional manifolds
- nonlinear manifold
- discriminant projection
- data mining
- locally linear embedding
- lower dimensional
- principal component analysis
- nearest neighbor
- pairwise
- manifold embedding
- pattern recognition
- similarity measure
- neural network
- intrinsic manifold