Results 41 to 50 of about 27,846 (265)
Alternating Direction Method of Multiplier for Tomography With Nonlocal Regularizers [PDF]
IEEE Transactions on Medical Imaging, 2014 The ordered subset expectation maximization (OSEM) algorithm approximates the gradient of a likelihood function using a subset of projections instead of using all projections so that fast image reconstruction is possible for emission and transmission tomography such as SPECT, PET, and CT.
Chun, Se Young +2 more
openaire +3 more sources
MathematicsThe alternating direction method is one of the attractive approaches for solving convex optimization problems with linear constraints and separable objective functions.
Jingjing Peng +3 more
doaj +1 more source
Self Equivalence of the Alternating Direction Method of Multipliers
, 2015 The alternating direction method of multipliers (ADM or ADMM) breaks a complex optimization problem into much simpler subproblems. The ADM algorithms are typically short and easy to implement yet exhibit (nearly) state-of-the-art performance for large ...
Yan, Ming, Yin, Wotao
core +1 more source
Self-Adaptive Alternating Direction Method of Multipliers for Image Denoising
Applied SciencesIn this study, we introduce a novel self-adaptive alternating direction method of multipliers tailored for image denoising. Our approach begins by formulating a collaborative regularization model that upholds structured sparsity within images while ...
Mingjie Xie, Haibing Guo
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A Study on Distributed Optimization over Large-Scale Networked Systems
Journal of Mathematics, 2021 Distributed optimization is a very important concept with applications in control theory and many related fields, as it is high fault-tolerant and extremely scalable compared with centralized optimization.
Hansi K. Abeynanda, G. H. J. Lanel
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Engineering Proceedings, 2023 We consider the application of a recently developed hyperspectral broadband phase retrieval (HSPhR) technique for spectrally varying object and modulation phase masks at 100 spectral components.
Igor Shevkunov +2 more
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Compressed Sensing for Block-Sparse Smooth Signals
, 2013 We present reconstruction algorithms for smooth signals with block sparsity from their compressed measurements. We tackle the issue of varying group size via group-sparse least absolute shrinkage selection operator (LASSO) as well as via latent group ...
Gishkori, Shahzad, Leus, Geert
core +1 more source
Advanced Functional Materials, EarlyView.Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
An Improved Alternating Direction Method of Multipliers for Matrix Completion
Foundations of Computing and Decision SciencesMatrix completion is widely used in information science fields such as machine learning and image processing. The alternating direction method of multipliers (ADMM), due to its ability to utilize the separable structure of the objective function, has ...
Yan Xihong, Zhang Ning, Li Hao
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Fast Model Predictive Control Based on Adaptive Alternating Direction Method of Multipliers
Journal of Chemistry, 2019 Model Predictive Control (MPC) can effectively handle control problem with disturbances, multicontrol variables, and complex constraints and is widely used in various control systems.
Yu Li +4 more
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