Large-scale Sparse Tensor Decomposition Using a Damped Gauss-Newton Method.

Teresa M. Ranadive Muthu Manikandan Baskaran

Published 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