Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection.
Fadi DornaikaAmmar AssoumBogdan RaducanuPublished in: SSPR/SPR (2012)
Keyphrases
- manifold learning
- dimensionality reduction
- feature selection
- high dimensional
- intrinsic dimensionality
- feature space
- high dimensionality
- low dimensional
- dimension reduction
- feature extraction
- subspace learning
- nonlinear dimensionality reduction
- high dimensional data
- diffusion maps
- low dimensional manifolds
- feature subset
- unsupervised learning
- principal component analysis
- data points
- manifold learning algorithm
- head pose estimation
- euclidean distance
- pattern recognition
- geodesic distance
- machine learning
- input space
- laplacian eigenmaps
- singular value decomposition
- lower dimensional
- data sets
- locally linear embedding
- sparse representation
- model selection
- feature set
- learning algorithm