154 citations · 637 across the 17 of their papers we have counts for
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eess.SP2020★ 34 cited
Computing Large-Scale Matrix and Tensor Decomposition with Structured Factors: A Unified Nonconvex Optimization Perspective
Xiao Fu, Nico Vervliet, Lieven De Lathauwer +2
The proposed article aims at offering a comprehensive tutorial for the computational aspects of structured matrix and tensor factorization. Unlike existing tutorials that mainly fo…
math.OC2020★ 1 cited
A quadratically convergent proximal algorithm for nonnegative tensor decomposition
Nico Vervliet, Andreas Themelis, Panagiotis Patrinos +1
The decomposition of tensors into simple rank-1 terms is key in a variety of applications in signal processing, data analysis and machine learning. While this canonical polyadic de…