Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach.
Gilles MeyerSilvere BonnabelRodolphe SepulchrePublished in: J. Mach. Learn. Res. (2011)
Keyphrases
- positive semidefinite matrices
- complementarity problems
- positive semidefinite
- convex sets
- embedding space
- model selection
- variational inequalities
- shape analysis
- kernel matrix
- manifold learning
- riemannian manifolds
- shape space
- similarity function
- support vector
- euclidean space
- geometric structure
- semidefinite
- kernel methods
- linear combination