2017
Nesterov-based parallel algorithm for large-scale nonnegative tensor factorization
ICASSP 2017accepted
We consider the problem of nonnegative tensor factorization. Our aim is to derive an efficient algorithm that is also suitable for parallel implementation. We adopt the alternating optimization (AO) framework and solve each matrix nonnegative least-squares problem via a Nesterov-type algorithm for s…