Subgradient Method for Convex Feasibility on Riemannian Manifolds.
Glaydston de Carvalho BentoJefferson G. MeloPublished in: J. Optim. Theory Appl. (2012)
Keyphrases
- riemannian manifolds
- subgradient method
- euclidean space
- optimization problems
- lagrangian relaxation
- convex optimization
- multi class classification
- vector space
- geodesic distance
- geometric structure
- parameter space
- manifold learning
- covariance matrix
- feature space
- convex hull
- mean shift
- dynamic programming
- objective function
- reinforcement learning
- feature extraction
- high dimensional
- reproducing kernel hilbert space