Manifold Learning in Regression Tasks.
Alexander V. BernsteinAlexander P. KuleshovYury YanovichPublished in: SLDS (2015)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- semi supervised
- high dimensional
- diffusion maps
- dimension reduction
- subspace learning
- high dimensional data
- feature extraction
- laplacian eigenmaps
- head pose estimation
- feature space
- manifold learning algorithm
- sparse representation
- regression model
- geodesic distance
- locally linear embedding
- pattern recognition
- machine learning
- manifold structure
- discriminant projection
- gaussian processes
- support vector regression
- model selection
- nearest neighbor
- image features
- image retrieval
- feature selection