Generalized Regression Neural Network Optimized by Genetic Algorithm for Solving Out-of-Sample Extension Problem in Supervised Manifold Learning.
Hong-Bing HuangZhi-Hong XiePublished in: Neural Process. Lett. (2019)
Keyphrases
- manifold learning
- semi supervised
- generalized regression neural network
- discriminant projection
- dimensionality reduction
- nonlinear dimensionality reduction
- low dimensional
- manifold learning algorithm
- dimension reduction
- unsupervised learning
- subspace learning
- diffusion maps
- supervised learning
- laplacian eigenmaps
- feature extraction
- high dimensional data
- high dimensional
- head pose estimation
- semi supervised learning
- neighborhood preserving embedding
- locally linear embedding
- manifold structure
- artificial neural networks
- pairwise
- computer vision
- nonlinear manifold
- locality preserving projections
- sparse representation
- geodesic distance
- data sets
- feature space
- pattern recognition
- feature selection
- support vector regression
- labeled data
- neural network