Hessian Riemannian Gradient Flows in Convex Programming.
Felipe AlvarezJérôme BolteOlivier BrahicPublished in: SIAM J. Control. Optim. (2004)
Keyphrases
- convex programming
- riemannian metric
- convex optimization
- linear programming
- interior point methods
- vector space
- shape representation
- fisher information
- shape space
- covariance matrices
- infinite dimensional
- tensor field
- primal dual
- parameter space
- semidefinite programming
- convex functions
- kernel learning
- riemannian manifolds
- positive definite
- shape analysis
- linear program
- diffusion tensor
- covariance matrix
- geodesic distance
- feature selection
- active contour model
- euclidean space
- similarity measure