Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
Gilles MeyerSilvere BonnabelRodolphe SepulchrePublished in: CoRR (2010)
Keyphrases
- positive semidefinite matrices
- complementarity problems
- positive semidefinite
- embedding space
- euclidean space
- manifold learning
- convex sets
- geodesic distance
- model selection
- shape analysis
- metric learning
- machine learning
- variational inequalities
- semidefinite programming
- riemannian manifolds
- polynomial kernels
- low dimensional
- linear combination