Results 41 to 50 of about 166,468,241 (292)
Robust Face Super-Resolution via Locality-Constrained Low-Rank Representation
IEEE Access, 2017 Learning-based face super-resolution relies on obtaining accurate a priori knowledge from the training data. Representation-based approaches (e.g., sparse representation-based and neighbor embedding-based schemes) decompose the input images using ...
Tao Lu +4 more
doaj +1 more source
A Proximal Alternating Direction Method of Multipliers with a Substitution Procedure [PDF]
Mathematical Problems in Engineering, 2020 In this paper, we considers the separable convex programming problem with linear constraints. Its objective function is the sum of m individual blocks with nonoverlapping variables and each block consists of two functions: one is smooth convex and the other one is convex.
Miantao Chao +2 more
openaire +2 more sources
A Flexible Stochastic Multi-Agent ADMM Method for Large-Scale Distributed Optimization
IEEE Access, 2022 While applying stochastic alternating direction method of multiplier (ADMM) methods has become enormously potential in distributed applications, improving the algorithmic flexibility can bring huge benefits.
Lin Wu, Yongbin Wang, Tuo Shi
doaj +1 more source
On Convergence Rates of Proximal Alternating Direction Method of Multipliers
Journal of Scientific Computing, 2023 AbstractIn this paper we consider from two different aspects the proximal alternating direction method of multipliers (ADMM) in Hilbert spaces. We first consider the application of the proximal ADMM to solve well-posed linearly constrained two-block separable convex minimization problems in Hilbert spaces and obtain new and improved non-ergodic ...
openaire +5 more sources
, 2019 International audienceWe propose an alternating direction method of multiplier (ADMM) for the unilateral (frictionless) contact problem with an optimal parameter selection.
Chorfi, Amina, Koko, Jonas
core +1 more source
An Efficient Augmented Lagrangian Method for Statistical X-Ray CT Image Reconstruction. [PDF]
PLoS ONE, 2015 Statistical iterative reconstruction (SIR) for X-ray computed tomography (CT) under the penalized weighted least-squares criteria can yield significant gains over conventional analytical reconstruction from the noisy measurement.
Jiaojiao Li +8 more
doaj +1 more source
Weighted Sum Secrecy Rate Maximization for Joint ITS- and IRS-Empowered System
Entropy, 2023 In this work, we investigate a novel intelligent surface-assisted multiuser multiple-input single-output multiple-eavesdropper (MU-MISOME) secure communication network where an intelligent reflecting surface (IRS) is deployed to enhance the secrecy ...
Shaochuan Yang +4 more
doaj +1 more source
Scalable Stochastic Alternating Direction Method of Multipliers
CoRR, 2015 Stochastic alternating direction method of multipliers (ADMM), which visits only one sample or a mini-batch of samples each time, has recently been proved to achieve better performance than batch ADMM. However, most stochastic methods can only achieve a convergence rate $O(1/\sqrt T)$ on general convex problems,where T is the number of iterations ...
Shen-Yi Zhao, Wu-Jun Li, Zhi-Hua Zhou
openaire +2 more sources
Engineering Science and Technology, an International JournalIn this paper, we study the high-dimensional varying coefficient partially linear model and proposes a variable parameter selection method combined with elastic network.
Mengmeng Zhao +4 more
doaj +1 more source
Fast Stochastic Alternating Direction Method of Multipliers
CoRR, 2013 In this paper, we propose a new stochastic alternating direction method of multipliers (ADMM) algorithm, which incrementally approximates the full gradient in the linearized ADMM formulation. Besides having a low per-iteration complexity as existing stochastic ADMM algorithms, the proposed algorithm improves the convergence rate on convex problems from
Leon Wenliang Zhong, James T. Kwok
openaire +3 more sources