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检索条件"主题词=alternating minimization algorithm"
42 条 记 录,以下是1-10 订阅
排序:
A Unified Bregman alternating minimization algorithm for Generalized DC Programs with Application to Imaging
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JOURNAL OF SCIENTIFIC COMPUTING 2024年 第3期101卷 76页
作者: He, Hongjin Zhang, Zhiyuan Ningbo Univ Sch Math & Stat Ningbo 315211 Peoples R China Southern Methodist Univ Dept Operat Res & Engn Management Dallas TX 75205 USA
In this paper, we consider a class of nonconvex (not necessarily differentiable) optimization problems called generalized Difference-of-Convex functions (DC) programs, which is minimizing the sum of two separable DC p... 详细信息
来源: 评论
Low dose CT reconstruction via L1 norm dictionary learning using alternating minimization algorithm and balancing principle
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JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2018年 第4期26卷 603-622页
作者: Wu, Junfeng Dai, Fang Hu, Gang Mou, Xuanqin Xian Univ Technol Coll Sci Xian 710048 Shaanxi Peoples R China Southeast Univ Key Lab Comp Network & Informat Integrat Minist Educ Nanjing Jiangsu Peoples R China Xi An Jiao Tong Univ Inst Image Proc & Pattern Recognit Xian Shaanxi Peoples R China
Excessive radiation exposure in computed tomography (CT) scans increases the chance of developing cancer and has become a major clinical concern. Recently, statistical iterative reconstruction (SIR) with l(0)-norm dic... 详细信息
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Line Integral alternating minimization algorithm for Dual-Energy X-Ray CT Image Reconstruction
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IEEE TRANSACTIONS ON MEDICAL IMAGING 2016年 第2期35卷 685-698页
作者: Chen, Yaqi O'Sullivan, Joseph A. Politte, David G. Evans, Joshua D. Han, Dong Whiting, Bruce R. Williamson, Jeffrey F. Washington Univ Dept Elect & Syst Engn St Louis MO 63130 USA Washington Univ Sch Med Mallinckrodt Inst Radiol Elect Radiol Lab St Louis MO 63110 USA Virginia Commonwealth Univ Dept Radiat Oncol Richmond VA 23220 USA Univ Pittsburgh Dept Radiol Pittsburgh PA 15213 USA
We propose a new algorithm, called line integral alternating minimization (LIAM), for dual-energy X-ray CT image reconstruction. Instead of obtaining component images by minimizing the discrepancy between the data and... 详细信息
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alternating minimization differential privacy protection algorithm for the novel dual-mode learning tasks model
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EXPERT SYSTEMS WITH APPLICATIONS 2025年 259卷
作者: Zhao, Pengfei Zhang, Kaili Zhang, Haibin Chen, Haibin Beijing Univ Civil Engn & Architecture Sch Civil & Transportat Engn Beijing 102616 Peoples R China Beijing 2 Middle Sch Beijing 100010 Peoples R China Chinese Acad Sci Acad Math & Syst Sci Beijing 100190 Peoples R China Beijing Univ Technol Dept Operat Res & Informat Engn Beijing 100124 Peoples R China Qufu Normal Univ Sch Management Sci Rizhao 276800 Shandong Peoples R China Ctr Intelligent Multidimens Data Anal Shatin Hong Kong Sci Pk Hong Kong Peoples R China
The privacy-protected algorithm (PPA) is pivotal in the realm of machine learning, especially for handling sensitive data types, such as medical and financial records. PPA enables two distinct operations: data publish... 详细信息
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A new alternating minimization algorithm for image segmentation
A new alternating minimization algorithm for image segmentat...
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6th International Conference on Wireless, Mobile and Multi-Media (ICWMMN 2015)
作者: Zeyang Dou Bin Zhang Xinyan Yu Department of Applied Mathematics Communication University of China Beijing China
A new alternating minimization algorithm for image segmentation is proposed. Based on the similarities between Ambrosio-Tortorelli model and Perona-Malik model, a new explicit alternating minimization algorithm is dev... 详细信息
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On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms  6
On the convergence of adaptive first order methods: proximal...
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6th Annual Learning for Dynamics and Control Conference
作者: Latafat, Puya Themelis, Andreas Patrinos, Panagiotis Katholieke Univ Leuven Dept Elect Engn ESAT STADIUS Kasteelpark Arenberg 10 B-3001 Leuven Belgium Kyushu Univ Fac Informat Sci & Elect Engn ISEE 744 MotookaNishi-Ku Fukuoka 8190395 Japan
Building upon recent works on linesearch-free adaptive proximal gradient methods, this paper proposes AdaPG(q,r), a framework that unifies and extends existing results by providing larger stepsize policies and improve... 详细信息
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Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems
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IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 2024年 第3期15卷 1782-1798页
作者: Zhai, Junyi Jiang, Yuning Zhou, Ming Shi, Yuanming Chen, Wei Jones, Colin N. China Univ Petr East China Coll New Energy Qingdao 266580 Shandong Peoples R China Ecole Polytech Fed Lausanne Automat Control Lab CH-1015 Lausanne Switzerland North China Elect Power Univ State Key Lab Alternate Elect Power Syst Renewable Beijing 102206 Peoples R China ShanghaiTech Univ Sch Informat Sci & Technol Shanghai 201210 Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100190 Peoples R China Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol Beijing 100190 Peoples R China
Integrating heating and electricity networks offers extra flexibility to the energy system operation while improving energy utilization efficiency. This paper proposes a data-driven joint distributionally robust chanc... 详细信息
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An Enhanced Regularized Clustering Method With Adaptive Spurious Connection Detection
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IEEE SIGNAL PROCESSING LETTERS 2023年 30卷 1332-1336页
作者: Chen, Huangyue Kong, Lingchen Qu, Wentao Xiu, Xianchao Chinese Acad Sci Acad Math & Syst Sci Beijing 100190 Peoples R China Beijing Jiaotong Univ Sch Math & Stat Beijing 100044 Peoples R China Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200444 Peoples R China
The regularized clustering (RC) framework based on the fusion penalty has attracted extensive attention in the last decade because it does not require the prior knowledge of the number of clusters. Although the ground... 详细信息
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A doubly sparse and low-patch-rank prior model for image restoration
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APPLIED MATHEMATICAL MODELLING 2022年 112卷 786-799页
作者: He, Hongjin Zhao, Lulu Ningbo Univ Sch Math & Stat Ningbo 315211 Peoples R China Fuzhou Univ Sch Math & Stat Fuzhou 350108 Peoples R China
Image restoration is a core problem in computer vision and image processing. In this paper, we introduce a unified low-patch-rank minimization model, which possesses one nuclear norm regularization term promoting the ... 详细信息
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Tensor Completion via A Generalized Transformed Tensor T-Product Decomposition Without t-SVD
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JOURNAL OF SCIENTIFIC COMPUTING 2022年 第2期93卷 47-47页
作者: He, Hongjin Ling, Chen Xie, Wenhui Ningbo Univ Sch Math & Stat Ningbo 315211 Peoples R China Hangzhou Dianzi Univ Dept Math Hangzhou 310018 Peoples R China
Matrix and tensor nuclear norms have been successfully used to promote the low-rankness of tensors in low-rank tensor completion. However, singular value decomposition (SVD), which is computationally expensive for lar... 详细信息
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