Alternating proximal gradient method for sparse nonnegative Tucker decomposition

• Published in: Mathematical programming computation Vol. 7; no. 1; pp. 39 - 70
• Main Author: Xu, Yangyang
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2015
• Subjects: Full Length Paper; Mathematics; Mathematics and Statistics; Mathematics of Computing; Operations Research/Decision Theory; Optimization; Theory of Computation; Alternating proximal gradient method; Sparse optimization; 49M20; Non-convex optimization; 90C30; 90C52; Sparse nonnegative Tucker decomposition; 65B05; 90C26

Multi-way data arises in many applications such as electroencephalography classification, face recognition, text mining and hyperspectral data analysis. Tensor decomposition has been commonly used to find the hidden factors and elicit the intrinsic structures of the multi-way data. This paper consid...