Geodesic entropic graphs for dimension and entropy estimation in manifold learning.
Jose A. CostaAlfred O. Hero IIIPublished in: IEEE Trans. Signal Process. (2004)
Keyphrases
- manifold learning
- geodesic distance
- neighborhood graph
- information theory
- low dimensional
- dimensionality reduction
- high dimensional
- diffusion maps
- nonlinear dimensionality reduction
- dimension reduction
- laplacian eigenmaps
- high dimensional data
- semi supervised
- feature extraction
- subspace learning
- embedding space
- sparse representation
- head pose estimation
- manifold structure
- riemannian manifolds
- machine learning
- graph construction
- data sets
- manifold embedding
- locally linear embedding
- density estimation
- euclidean distance
- support vector machine svm
- principal component analysis
- feature space
- data analysis
- face recognition
- data mining