no code implementations • 11 Mar 2024 • Junbin Liu, Ya Liu, Wing-Kin Ma, Mingjie Shao, Anthony Man-Cho So
In the first part of this study, a convex-constrained penalized formulation was studied for a class of constant modulus (CM) problems.
no code implementations • 11 Mar 2024 • Junbin Liu, Ya Liu, Wing-Kin Ma, Mingjie Shao, Anthony Man-Cho So
This study develops a framework for a class of constant modulus (CM) optimization problems, which covers binary constraints, discrete phase constraints, semi-orthogonal matrix constraints, non-negative semi-orthogonal matrix constraints, and several types of binary assignment constraints.
no code implementations • 26 Jan 2024 • Junbin Liu, Yuening Li, Wing-Kin Ma
Our multilayer model is based on the postulate that if we arrange the varied endmembers as an expanded endmember matrix, that matrix exhibits a low-rank structure.
no code implementations • 8 Oct 2022 • Mingjie Shao, Wing-Kin Ma, Junbin Liu, Zihao Huang
In this study we analyze the convergence rate of EM for a class of approximate maximum-likelihood OMOD formulations, or, in a broader sense, a class of problems involving regression from quantized data.