Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images.
Parmeshwar KhurdRagini VermaChristos DavatzikosPublished in: IPMI (2007)
Keyphrases
- manifold learning
- diffusion tensor images
- statistical analysis
- high dimensional
- low dimensional
- nonlinear dimensionality reduction
- dimensionality reduction
- semi supervised
- dimension reduction
- kernel methods
- laplacian eigenmaps
- feature extraction
- manifold structure
- sparse representation
- support vector machine
- geodesic distance
- kernel pca
- pattern recognition
- high dimensional data
- computer vision
- white matter
- locally linear embedding
- tensor field
- cluster analysis
- riemannian manifolds
- support vector
- face recognition