Constrained manifold learning for the characterization of pathological deviations from normality.
Nicolas DuchateauMathieu De CraeneGemma PiellaAlejandro F. FrangiPublished in: Medical Image Anal. (2012)
Keyphrases
- manifold learning
- low dimensional
- semi supervised
- high dimensional
- dimensionality reduction
- diffusion maps
- nonlinear dimensionality reduction
- subspace learning
- dimension reduction
- laplacian eigenmaps
- high dimensional data
- sparse representation
- locality preserving
- geodesic distance
- feature extraction
- head pose estimation
- discriminant projection
- pattern recognition
- data mining
- manifold learning algorithm
- riemannian manifolds
- manifold structure
- principal component analysis
- training data
- manifold embedding