Robotics & Machine Learning Daily News2024,Issue(Jan.25) :48-48.

Studies from Nanchang University Describe New Findings in Machine Learning (Solving Inverse Problems With Sparse Noisy Data, Operator Splitting and Physics-constrained Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Jan.25) :48-48.

Studies from Nanchang University Describe New Findings in Machine Learning (Solving Inverse Problems With Sparse Noisy Data, Operator Splitting and Physics-constrained Machine Learning)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Network Daily News - Fresh dataon Machine Learning are presented in a new report. According to news reporting originating in Jiangxi,People’s Republic of China, by NewsRx journalists, research stated, “Inverse problems are fundamentalin tasks like computer vision, where model parameters need to be estimated from observable data. Wepropose a novel approach that combines physics-constrained deep learning with automatic differentiation(AD) to tackle inverse problems in such as computer vision.”Funders for this research include Basic and Applied Basic Research Foundation of Guangdong Province,Guangdong Basic and Applied Basic Research Foundation.

Key words

Jiangxi/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Networks/Neural Networks/Nanchang University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文