Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis.
Monami BanerjeeRudrasis ChakrabortyEdward OforiDavid E. VaillancourtBaba C. VemuriPublished in: MICCAI (1) (2015)
Keyphrases
- nonlinear regression
- riemannian manifolds
- image analysis
- linear regression
- euclidean space
- support vector regression
- vector space
- pattern recognition
- support vector machine
- geometric structure
- mean shift
- regression method
- feature space
- multi class classification
- manifold learning
- regression problems
- geodesic distance
- computer vision
- image processing
- neural network
- medical imaging
- shape analysis
- parameter space
- gaussian processes
- covariance matrix
- least squares
- image segmentation