Low-rank tensor completion: a Riemannian manifold preconditioning approach.
Hiroyuki KasaiBamdev MishraPublished in: ICML (2016)
Keyphrases
- low rank
- riemannian manifolds
- symmetric positive definite
- kernel matrix
- trace norm
- euclidean space
- high order
- matrix factorization
- convex optimization
- missing data
- linear combination
- singular value decomposition
- mean shift
- semi supervised
- high dimensional data
- vector space
- positive definite
- geometric structure
- geodesic distance
- manifold learning
- feature space
- parameter space
- reproducing kernel hilbert space
- diffusion tensor
- higher order
- probability density function
- data sets
- metric space
- kernel pca
- distance measure