Low-rank tensor completion: a Riemannian manifold preconditioning approach.
Hiroyuki KasaiBamdev MishraPublished in: CoRR (2016)
Keyphrases
- low rank
- riemannian manifolds
- symmetric positive definite
- kernel matrix
- trace norm
- euclidean space
- high order
- convex optimization
- missing data
- matrix factorization
- singular value decomposition
- linear combination
- semi supervised
- vector space
- parameter space
- manifold learning
- high dimensional data
- positive definite
- geodesic distance
- geometric structure
- reproducing kernel hilbert space
- feature space
- higher order
- mean shift
- image processing
- covariance matrix
- collaborative filtering
- pairwise