Subspace Methods with Local Refinements for Eigenvalue Computation Using Low-Rank Tensor-Train Format.
Junyu ZhangZaiwen WenYin ZhangPublished in: J. Sci. Comput. (2017)
Keyphrases
- low rank
- subspace methods
- trace norm
- high order
- convex optimization
- missing data
- matrix completion
- linear combination
- matrix factorization
- singular value decomposition
- kernel matrix
- semi supervised
- principal component analysis
- high dimensional data
- dimensionality reduction
- data sets
- least squares
- higher order
- linear subspace
- low dimensional
- linear discriminant analysis
- face recognition
- active learning
- image sequences
- lower dimensional
- ensemble methods
- small number