An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems*-Reference-Cited by-同舟云学术

An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems*

Published:2012-07 Issue:16 Volume:45 Page:83-88
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Wahlberg Bo,Boyd Stephen,Annergren Mariette,Wang Yang

Publisher

Elsevier BV

Subject

General Medicine

Reference15 articles.

1. Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data;Banerjee;Journal of Machine Learning Research,2008

2. Distributed optimization and statistical learning via the alternating direction method of multipliers;Boyd;Foundations and Trends in Machine Learning,2011

3. A Douglas-Rachford splitting approach to nonsmooth convex variational signal recovery;Combettes;Selected Topics in Signal Processing, IEEE Journal of,2007

4. Covariance selection;Dempster;Biometrics,1972

5. On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators;Eckstein;Mathematical Programming,1992

Cited by 118 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A graph decomposition-based approach for the graph-fused lasso;Journal of Statistical Planning and Inference;2025-03

2. New Assessment Methods in Passive MMW/THz Imaging Systems;Journal of Infrared, Millimeter, and Terahertz Waves;2024-08-06

3. An Inverse Method Using Cross-Spectral Matrix Fitting for Passive Cavitation Imaging;IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control;2024-08

4. Distributed subsampling for multiplicative regression;Statistics and Computing;2024-08-01

5. Double l₁ regularization for moving force identification using response spectrum-based weighted dictionary;STRUCT ENG MECH;2024