Results 241 to 250 of about 27,483 (269)

Alternating Direction Method of Multipliers for Nonlinear Image Restoration Problems

IEEE Transactions on Image Processing, 2015
In this paper, we address the total variation (TV)-based nonlinear image restoration problems. In nonlinear image restoration problems, an original image is corrupted by a spatially-invariant blur, the build-in nonlinearity in imaging system, and the additive Gaussian white noise.
Chuan, Chen, Michael K, Ng, Xi-Le, Zhao
openaire   +2 more sources

Dual Descent Augmented Lagrangian Method and Alternating Direction Method of Multipliers

SIAM Journal on Optimization
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kaizhao Sun, Xu Andy Sun
openaire   +2 more sources

Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers

IEEE Transactions on Signal Processing, 2013
This paper develops the application of the alternating directions method of multipliers (ADMM) to optimize a dynamic objective function in a decentralized multiagent system. At each time slot each agent observes a new local objective function and all the agents cooperate to solve the sum objective on the same optimization variable.
Qing Ling, Alejandro Ribeiro
openaire   +1 more source

Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers

IEEE Transactions on Neural Networks and Learning Systems
Inspired by sparse learning, the Markowitz mean-variance model with a sparse regularization term is popularly used in sparse portfolio optimization. However, in penalty-based portfolio optimization algorithms, the cardinality level of the resultant portfolio relies on the choice of the regularization parameter.
Zhang-Lei Shi, Xiao Peng Li, Chi-Sing Leung, Hing Cheung So   +3 more
openaire   +2 more sources

Reweighted Alternating Direction Method of Multipliers for DNN weight pruning

Neural Networks
As Deep Neural Networks (DNNs) continue to grow in complexity and size, leading to a substantial computational burden, weight pruning techniques have emerged as an effective solution. This paper presents a novel method for dynamic regularization-based pruning, which incorporates the Alternating Direction Method of Multipliers (ADMM).
Ming Yuan, Lin Du, Feng Jiang, Jianchao Bai, Guanrong Chen   +4 more
openaire   +2 more sources

Decentralizing Consensus-Alternating Direction Method of Multipliers

2023 European Control Conference (ECC), 2023
Chinmay Routray, Soumya Ranjan Sahoo
openaire   +1 more source

Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians

Ca-A Cancer Journal for Clinicians, 2022
William A Hal, X Allen Li, Daniel A Low
exaly  

Hydroxyl Radical Protein Footprinting: A Mass Spectrometry-Based Structural Method for Studying the Higher Order Structure of Proteins

Chemical Reviews, 2022
Lisa M Jones
exaly  

A contact-electro-catalytic cathode recycling method for spent lithium-ion batteries

Nature Energy, 2023
, Andy Berbille, Wei Tang
exaly  

Alternating Direction Method of Multipliers for Machine Learning

2022
Zhouchen Lin, Huan Li, Cong Fang
openaire   +1 more source