Large-scale Sparse Tensor Decomposition Using a Damped Gauss-Newton Method.
Teresa M. RanadiveMuthu Manikandan BaskaranPublished in: HPEC (2020)
Keyphrases
- newton method
- tensor decomposition
- data representation
- regularized least squares
- convergence analysis
- auxiliary information
- nonnegative matrix factorization
- tensor factorization
- high order
- linear equations
- optimality conditions
- variational inequalities
- linear svm
- quadratic programming
- low rank
- sparse representation
- matrix factorization
- data sets
- global convergence
- negative matrix factorization
- convex optimization
- sample size
- image restoration
- high dimensional