A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization

Kejun Huang, Nicholas D. Sidiropoulos, Athanasios P. Liavas

We propose a general algorithmic framework for constrained matrix and tensor factorization, which is widely used in signal processing and machine learning. The new framework is a h…