Riemannian Optimization for High-Dimensional Tensor Completion.
Michael SteinlechnerPublished in: SIAM J. Sci. Comput. (2016)
Keyphrases
- high dimensional
- dimensionality reduction
- manifold learning
- low dimensional
- feature space
- constrained optimization
- parameter space
- similarity search
- optimization problems
- high dimensional data
- metric space
- data points
- tensor field
- symmetric positive definite
- optimization algorithm
- feature extraction
- riemannian manifolds
- riemannian framework