Efficient image classification via structured low-rank matrix factorization regression

Efficient image classification via structured low-rank matrix factorization regression

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...

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Bibliographic Details
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: Journal 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

Internet

https://hdl.handle.net/10356/173295

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