Randomized algorithms for the approximations of Tucker and the tensor train decompositions.
Maolin CheYimin WeiPublished in: Adv. Comput. Math. (2019)
Keyphrases
- randomized algorithms
- tensor decomposition
- tensor factorization
- high order
- lower bound
- approximation algorithms
- practical problems
- worst case
- auxiliary information
- singular value decomposition
- randomized algorithm
- search algorithm
- negative matrix factorization
- matrix factorization
- dimensionality reduction
- approximation ratio
- learning algorithm
- linear combination
- objective function