Rank-constrained optimization: a Riemannian manifold approach.
Guifang ZhouWen HuangKyle A. GallivanPaul Van DoorenPierre-Antoine AbsilPublished in: ESANN (2015)
Keyphrases
- constrained optimization
- riemannian manifolds
- euclidean space
- constrained optimization problems
- vector space
- geometric structure
- penalty function
- mean shift
- multi class classification
- objective function
- manifold learning
- symmetric positive definite
- augmented lagrangian
- parameter space
- geodesic distance
- reproducing kernel hilbert space
- feature space
- shape analysis
- covariance matrix
- euclidean distance
- low dimensional
- covariance matrices
- multi class
- special case
- high dimensional
- optimal solution