Unconstrained Steepest Descent Method for Multicriteria Optimization on Riemannian Manifolds.
Glaydston de Carvalho BentoOrizon Pereira FerreiraP. Roberto OliveiraPublished in: J. Optim. Theory Appl. (2012)
Keyphrases
- riemannian manifolds
- multicriteria optimization
- steepest descent method
- step size
- euclidean space
- convergence speed
- quasiconvex
- back propagation
- multi class classification
- vector space
- geometric structure
- cost function
- mean shift
- geodesic distance
- parameter space
- feature space
- covariance matrices
- objective function
- manifold learning
- finite number
- polynomial time complexity
- utility function
- shape analysis
- metric space
- covariance matrix
- shortest path
- particle swarm optimization
- low dimensional
- medical images
- dimensionality reduction
- feature extraction