ADMM algorithms for matrix completion problem in noisy settings

Matrix completion (MC) is a fundamental linear algebra problem to fully recover a low-rank matrix from its incomplete data. It is widely applied in machine learning and statistics, varied from wireless communication, image compression to collaborative filtering. Meanwhile, Alternating Direction Meth...

Full description

Bibliographic Details
Main Author: Le, Tran Kien
Other Authors: Chua Chek Beng
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148502