Gauss-Newton method for convex composite optimizations on Riemannian manifolds.
Jinhua WangJen-Chih YaoChong LiPublished in: J. Glob. Optim. (2012)
Keyphrases
- riemannian manifolds
- newton method
- euclidean space
- convergence analysis
- regularized least squares
- variational inequalities
- optimality conditions
- reproducing kernel hilbert space
- convex sets
- mean shift
- vector space
- convex optimization
- parameter space
- spectral clustering
- global convergence
- convex hull
- feature space
- machine learning
- probability density function
- em algorithm