A supervised non-linear dimensionality reduction approach for manifold learning.
Bogdan RaducanuFadi DornaikaPublished in: Pattern Recognit. (2012)
Keyphrases
- manifold learning
- feature space
- dimensionality reduction
- low dimensional
- semi supervised
- feature selection
- high dimensional
- discriminant projection
- dimension reduction
- manifold learning algorithm
- feature extraction
- nonlinear dimensionality reduction
- diffusion maps
- unsupervised learning
- learning algorithm
- label information
- head pose estimation
- supervised learning
- neural network
- machine learning
- laplacian eigenmaps
- neighborhood preserving embedding
- geodesic distance
- subspace learning
- manifold structure
- data points
- linear discriminant analysis
- locally linear embedding
- semi supervised learning
- sparse coding
- locality preserving
- active learning
- pattern recognition
- data mining