Efficient image classification via structured low-rank matrix factorization regression

• Main Authors: Zhang, Hengmin, Yang, Jian, Qian, Jianjun, Gao, Guangwei, Lan, Xiangyuan, Zha, Zhiyuan, Wen, Bihan
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering::Electrical and electronic engineering; Low-Rank Matrix Regression; Matrix Factorization
• Online Access: https://hdl.handle.net/10356/173295
• Institution: Nanyang Technological University

In real-world applications involving sparse coding and low-rank matrix recovery problems, linear regression methods usually struggle to effectively capture the structured correlations present in data matrices. This limitation arises from representation approaches that treat images as vectors and han...