A lower bound on the tensor rank based on its maximally square matrix unfolding.
Giuseppe Giovanni CalviBruno Scalzo DeesDanilo P. MandicPublished in: Signal Process. (2021)
Keyphrases
- lower bound
- upper bound
- trace norm
- projection matrices
- branch and bound algorithm
- tensor decomposition
- branch and bound
- lower and upper bounds
- tensor factorization
- structure tensor
- objective function
- higher order
- high order
- np hard
- optimal solution
- dimensionality reduction
- sufficiently accurate
- symmetric positive definite
- polynomial approximation
- low rank
- petri net
- diffusion tensor
- lower bounding
- worst case
- pairwise
- singular vectors
- singular values
- anisotropic diffusion
- projection matrix
- singular value decomposition
- scheduling problem
- feature space
- tensor space