Fast stochastic optimization on Riemannian manifolds.
Hongyi ZhangSashank J. ReddiSuvrit SraPublished in: CoRR (2016)
Keyphrases
- stochastic optimization
- riemannian manifolds
- euclidean space
- multistage
- multi class classification
- mean shift
- vector space
- geometric structure
- parameter space
- manifold learning
- covariance matrices
- geodesic distance
- feature space
- reproducing kernel hilbert space
- feature selection
- principal component analysis
- special case
- pairwise