On the Nuclear Norm and the Singular Value Decomposition of Tensors.
Harm DerksenPublished in: Found. Comput. Math. (2016)
Keyphrases
- singular value decomposition
- nuclear norm
- low rank
- low rank matrix
- singular values
- low rank matrices
- tensor factorization
- high order
- least squares
- dimension reduction
- matrix completion
- dimensionality reduction
- kernel matrix
- latent semantic indexing
- data matrix
- principal component analysis
- low rank approximation
- rank minimization
- missing data
- factorization method
- minimization problems
- convex optimization
- image segmentation