Characterizing Pathological Deviations from Normality Using Constrained Manifold-Learning.
Nicolas DuchateauMathieu De CraeneGemma PiellaAlejandro F. FrangiPublished in: MICCAI (3) (2011)
Keyphrases
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- diffusion maps
- semi supervised
- dimensionality reduction
- high dimensional
- sparse representation
- dimension reduction
- laplacian eigenmaps
- manifold learning algorithm
- high dimensional data
- low dimensional manifolds
- subspace learning
- feature extraction
- discriminant projection
- geodesic distance
- locally linear embedding
- manifold structure
- head pose estimation
- data mining
- feature space
- image features
- manifold embedding
- neural network
- discriminant embedding