Results 11 to 20 of about 7,185 (222)
ADMM-SVNet: An ADMM-Based Sparse-View CT Reconstruction Network
In clinical medical applications, sparse-view computed tomography (CT) imaging is an effective method for reducing radiation doses. The iterative reconstruction method is usually adopted for sparse-view CT.
Sukai Wang, Xuan Li, Ping Chen
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ADMM-Softmax: an ADMM approach for multinomial logistic regression [PDF]
We present ADMM-Softmax, an alternating direction method of multipliers (ADMM) for solving multinomial logistic regression (MLR) problems. Our method is geared toward supervised classification tasks with many examples and features. It decouples the nonlinear optimization problem in MLR into three steps that can be solved efficiently.
Fung, Samy Wu +3 more
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We consider a class of Riemannian optimization problems where the objective is the sum of a smooth function and a nonsmooth function, considered in the ambient space. This class of problems finds important applications in machine learning and statistics such as the sparse principal component analysis, sparse spectral clustering, and orthogonal ...
Jiaxiang Li +2 more
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Dynamic Sharing Through the ADMM [PDF]
In this paper, we study a dynamic version of the sharing problem, in which a dynamic system cost function composed of time-variant local costs of subsystems and a shared time-variant cost of the whole system is minimized. A dynamic alternating direction method of multipliers (ADMM) is proposed to track the varying optimal points of the dynamic ...
Xuanyu Cao, K. J. Ray Liu
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Многоблочный метод ADMM с ускорением Нестерова
Метод ADMM (alternating direction methods of multipliers) широко используется для решения многих оптимизационных задач с помощью параллельных вычислений.
Владислав Анатолійович Григоренко +2 more
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ADMM/ ADMM Plus As Cbm Through Non-Traditional Issues (ASEAN)
The ADMM/ADMM Plus is the highest defense consultative and cooperative mechanism in ASEAN. Its primary aim is to promote mutual trust and confidence among participating countries by facilitating a greater understanding of defense and security challenges, as well as enhancing transparency and openness.
Alma Evelinda Silalahi
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The symmetric ADMM with indefinite proximal regularization and its application [PDF]
Due to updating the Lagrangian multiplier twice at each iteration, the symmetric alternating direction method of multipliers (S-ADMM) often performs better than other ADMM-type methods.
Hongchun Sun, Maoying Tian, Min Sun
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DN-ADMM: Distributed Newton ADMM for Multi-agent Optimization [PDF]
In a multi-agent network, we consider the problem of minimizing an objective function that is expressed as the sum of private convex and smooth functions, and a (possibly) non-differentiable convex regularizer. We propose a novel distributed second-order method based on the framework of Alternating Direction Method of Multipliers (ADMM), by invoking ...
Yichuan Li 0004 +3 more
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RIS-ADMM: A RIS and ADMM-Based Passive and Sparse Sensing Method With Interference Removal
5 ...
Peng Chen 0018 +3 more
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SI-ADMM: A Stochastic Inexact ADMM Framework for Stochastic Convex Programs [PDF]
37 pages, 2 figures, 3 ...
Yue Xie, Uday V. Shanbhag
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