Výsledky vyhľadávania - "Alternating direction method of multipliers~(ADMM) algorithm"

Distributed Fast-Tracking Alternating Direction Method of Multipliers (ADMM) Algorithm with Optimal Convergence Rate Autor Shethia, Shreyansh, Gupta, Akshita, Thapliyal, Omanshu, Hwang, Inseok

“…In this paper, we consider a distributed optimization problem with coupled constraints, where a network of agents aim to cooperatively minimize the sum of…”
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FCFusion: Fractal Componentwise Modeling With Group Sparsity for Medical Image Fusion Autor Xu, Guoxia, Deng, Xiaoxue, Zhou, Xiaokang, Pedersen, Marius, Cimmino, Lucia, Wang, Hao

“…Multimodal image fusion is the process of combing relevant biological information that can be used for automated industrial application. In this article, we…”
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Modeling of Retinal Optical Coherence Tomography Based on Stochastic Differential Equations: Application to Denoising Autor Tajmirriahi, Mahnoosh, Amini, Zahra, Hamidi, Arsham, Zam, Azhar, Rabbani, Hossein

“…In this paper a statistical modeling, based on stochastic differential equations (SDEs), is proposed for retinal Optical Coherence Tomography (OCT) images. In…”
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IIoT Data Sharing Based on Blockchain: A Multileader Multifollower Stackelberg Game Approach Autor Jiang, Yuna, Zhong, Yi, Ge, Xiaohu

“…The evolution of the Industrial Internet of Things (IIoTs) greatly increases the volume of data generated by the connected IIoT devices. IIoT data are playing…”
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ADS-B Signal Separation Based On Blind Adaptive Beamforming Autor Wang, Wenyi, Wu, Renbiao, Liang, Junli

“…The automatic dependent surveillance-broadcast (ADS-B) is a surveillance system for air traffic management where aircrafts asynchronously broadcast the…”
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Additive Tensor Decomposition Considering Structural Data Information Autor Mou, Shancong, Wang, Andi, Zhang, Chuck, Shi, Jianjun

“…Tensor data with rich structural information become increasingly important in process modeling, monitoring, and diagnosis in manufacturing medical and other…”
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Task Scheduling for Smart City Applications Based on Multi-Server Mobile Edge Computing Autor Deng, Yiqin, Chen, Zhigang, Yao, Xin, Hassan, Shahzad, Wu, Jia

“…The smart city is increasingly gaining worldwide attention. It has the potential to improve the quality of life in convenience, at work, and in safety, among…”
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Spectral Estimation Using Multitaper Whittle Methods With a Lasso Penalty Autor Tang, Shuhan, Craigmile, Peter F., Zhu, Yunzhang

“… We present an alternating direction method of multipliers (ADMM) algorithm to efficiently solve the optimization…”
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Distributed MPC for Reconfigurable Architecture Systems via Alternating Direction Method of Multipliers Autor Bai, Ting, Li, Shaoyuan, Zou, Yuanyuan

“…This paper investigates the distributed model predictive control (MPC) problem of linear systems where the network topology is changeable by the way of…”
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Multi-radar Data Fusion Imaging Based on Multidimensional Alternating Direction Method of Multipliers Autor Zhong, Jianhao, Li, Xuan, Fan, Zhenhong, He, Zi, Ding, Dazhi, Chen, Rushan

“…Traditional single radar imaging resolution is limited by the transmission signal bandwidth, resulting in poor imaging quality. Since the height information of…”
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Integrated railway timetable rescheduling and dynamic passenger routing during a complete blockage Autor Zhan, Shuguang, Wong, S.C., Shang, Pan, Peng, Qiyuan, Xie, Jiemin, Lo, S.M.

“…•A two-layer decomposition approach based on alternating direction method of multipliers (ADMM…”
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A Splitting-Based Iterative Algorithm for Accelerated Statistical X-Ray CT Reconstruction Autor Ramani, S., Fessler, J. A.

“…Statistical image reconstruction using penalized weighted least-squares (PWLS) criteria can improve image-quality in X-ray computed tomography (CT). However,…”
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Efficient curve fitting with penalized B-splines for oceanographic and ecological applications Autor Bak, Kwan-Young, Lee, Dong-Young, Lee, Ju-Seong, Jee, Hee-Jung, Park, R. Jisung, Koo, Ja-Yong, Jhong, Jae-Hwan

“… By leveraging group penalties and the Alternating Direction Method of Multipliers (ADMM) algorithm, the method ensures consistency across response variables and computational efficiency…”
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A Low-Rank Tensor Decomposition Model With Factors Prior and Total Variation for Impulsive Noise Removal Autor Tian, Xin, Xie, Kun, Zhang, Hanling

“…Image restoration is a long-standing problem in signal processing and low-level computer vision. Previous studies have shown that imposing a low-rank Tucker…”
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ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing Autor Yang, Yan, Sun, Jian, Li, Huibin, Xu, Zongben

“… transform domains, and then two efficient solvers using Alternating Direction Method of Multipliers (ADMM) algorithm for optimizing the model are proposed…”
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Convergence for nonconvex ADMM, with applications to CT imaging Autor Barber, Rina Foygel, Sidky, Emil Y

“…The alternating direction method of multipliers (ADMM) algorithm is a powerful and flexible tool for complex optimization problems of the form…”
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Fluid Factor Inversion With Prestack Seismic Data Based on Quadratic Reflectivity Approximation Autor Zhao, Lian, Cao, Danping, Xie, Yu

“…The Gassmann fluid term, an important attribute for characterizing reservoir fluid variations, is widely used in seismic inversion for reservoir prediction and…”
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Hyperspectral Anomaly Detection Fused Unified Nonconvex Tensor Ring Factors Regularization Autor Qin, Wenjin, Wang, Hailin, Shu, Hao, Zhang, Feng, Wang, Jianjun, Cao, Xiangyong, Zhao, Xi-Le, Vivone, Gemine

“…In recent years, tensor decomposition-based approaches for hyperspectral anomaly detection (HAD) have gained significant attention in the field of remote…”
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SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra Autor Nguyen, Dai Hai, Nguyen, Canh Hao, Mamitsuka, Hiroshi

“…Abstract Motivation Recent success in metabolite identification from tandem mass spectra has been led by machine learning, which has two stages: mapping mass…”
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Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion Autor Xue, Jize, Zhao, Yongqiang, Huang, Shaoguang, Liao, Wenzhi, Chan, Jonathan Cheung-Wai, Kong, Seong G.

“…Existing methods for tensor completion (TC) have limited ability for characterizing low-rank (LR) structures. To depict the complex hierarchical knowledge with…”
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