Supervised Manifold Learning with Incremental Stochastic Embeddings.
Oliver KramerPublished in: ESANN (2015)
Keyphrases
- manifold learning
- semi supervised
- low dimensional
- discriminant projection
- dimensionality reduction
- diffusion maps
- nonlinear dimensionality reduction
- manifold learning algorithm
- dimension reduction
- laplacian eigenmaps
- high dimensional
- feature extraction
- manifold structure
- supervised learning
- semi supervised learning
- high dimensional data
- subspace learning
- sparse representation
- head pose estimation
- learning algorithm
- labeled data
- unsupervised learning
- manifold embedding
- feature selection
- neighborhood preserving embedding
- geodesic distance
- label information
- locality preserving projections
- feature space
- data analysis
- low dimensional manifolds
- pattern recognition
- nonlinear manifold
- machine learning