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检索条件"主题词=iterative algorithm"
1765 条 记 录,以下是321-330 订阅
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Reducing metal artifacts by restricting negative pixels
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Visual Computing for Industry,Biomedicine,and Art 2021年 第1期4卷 142-151页
作者: Gengsheng L.Zeng Megan Zeng Department of Computer Science Utah Valley UniversityOremUT 84058USA Department of Radiology and Imaging Sciences University of UtahSalt Lake CityUT 84108USA Department of Electrical Engineering and Computer Science University of California at BerkeleyBerkeleyCA 94720USA
When the object contains metals,its x-ray computed tomography(CT)images are normally affected by streaking *** artifacts are mainly caused by the x-ray beam hardening effects,which deviate the measurements from their ... 详细信息
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Poisson reduced-rank models with sparse loadings
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JOURNAL OF THE KOREAN STATISTICAL SOCIETY 2021年 第4期50卷 1079-1097页
作者: Lee, Eun Ryung Park, Seyoung Sungkyunkwan Univ Dept Stat Seoul South Korea
High-dimensional Poisson reduced-rank models have been considered for statistical inference on low-dimensional locations of the individuals based on the observations of high-dimensional count vectors. In this study, w... 详细信息
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A Heuristic algorithm for Arbitrary-criterion Optimization of Quantization Scales
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OPTICAL MEMORY AND NEURAL NETWORKS 2021年 第2期30卷 140-145页
作者: Gashnikov, M., V Samara Natl Res Univ Samara 443086 Russia RAS IPSI RAS Branch FSRC Crystallog & Photon Samara 443001 Russia
The paper considers the generation of effective quantization scales which meet any quality criteria under any constrains. The analysis of work of available methods allows a concept of a heuristic iterative algorithm f... 详细信息
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A Sparse Learning Approach to Relative-Volatility-Managed Portfolio Selection
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SIAM JOURNAL ON FINANCIAL MATHEMATICS 2021年 第1期12卷 410-445页
作者: Pun, Chi Seng Nanyang Technol Univ Sch Phys & Math Sci Singapore 637371 Singapore
This paper proposes a self-calibrated sparse learning approach for estimating a sparse target vector, which is a product of a precision matrix and a vector, and investigates its application to finance to provide an in... 详细信息
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Hierarchical Principle-Based iterative Parameter Estimation algorithm for Dual-Frequency Signals
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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2019年 第7期38卷 3251-3268页
作者: Liu, Siyu Ding, Feng Xu, Ling Hayat, Tasawar Jiangnan Univ Sch Internet Things Engn Key Lab Adv Proc Control Light Ind Minist Educ Wuxi 214122 Jiangsu Peoples R China Hubei Univ Technol Sch Elect & Elect Engn Wuhan 430068 Hubei Peoples R China King Abdulaziz Univ Dept Math Fac Sci Jeddah 21589 Saudi Arabia
In this paper, we consider the parameter estimation problem of dual-frequency signals disturbed by stochastic noise. The signal model is a highly nonlinear function with respect to the frequencies and phases, and the ... 详细信息
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Identification of MISO Wiener systems using the LMI algorithm
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INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL 2021年 第3-4期37卷 285-291页
作者: Zhou, Lincheng Li, Xiangli Changshu Inst Technol Sch Elect Engn & Automat Changshu Jiangsu Peoples R China
This paper focuses on a new identification method for multiple-input single output (MISO) Wiener nonlinear systems, in which the static nonlinear block is assumed to be a polynomial. The basic idea is to establish a M... 详细信息
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Frequency-Limited Reduced Models for Linear and Bilinear Systems on the Riemannian Manifold
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2021年 第9期66卷 3938-3951页
作者: Jiang, Yao-Lin Xu, Kang-Li Xi An Jiao Tong Univ Sch Math & Stat Xian 710049 Peoples R China
In this article, we propose two new iterative algorithms to solve the frequency-limited Riemannian optimization model order reduction problems of linear and bilinear systems. Different from the existing Riemannian opt... 详细信息
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Fast and Robust Unsupervised Dimensionality Reduction with Adaptive Bipartite Graphs
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KNOWLEDGE-BASED SYSTEMS 2023年 第1期276卷
作者: Niu, Fan Zhao, Xiaowei Guo, Jun Shi, Mei Liu, Xiaoxia Liu, Baoying Northwest Univ Sch Informat Sci & Technol Xian 710127 Peoples R China Northwestern Polytech Univ Sch Comp Sci Xian 710072 Peoples R China Northwestern Polytech Univ Sch Artificial Intelligence Opt & Elect iOPEN Xian 710072 Peoples R China Shaanxi Int Joint Res Ctr Battery free Internet Th Xian 710127 Peoples R China
Recent unsupervised dimension reduction algorithms use similarity graphs between data point pairs to preserve local structure while reducing dimension. However, the time complexity of these methods is proportional to ... 详细信息
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Identification of Unknown Parameters of the Dynamic Model of Mass Transfer
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MATHEMATICAL MODELLING AND ANALYSIS 2023年 第3期28卷 459-468页
作者: Zavialov, Volodymyr Lobok, Oleksii Mysiura, Taras Popova, Nataliia Chornyi, Valentyn Pohorilyi, Taras Natl Univ Food Technol Volodymyrska Str 68 UA-01033 Kiev Ukraine
An iterative algorithm for identifying unknown parameters of a mathematical model based on the Bayesian approach is proposed, which makes it possible to determine the most probable maximum informative estimates of the... 详细信息
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Extension of nonnegative constraints to difference-map algorithm on both real and imaginary parts of real space in phase retrieval
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OPTICAL ENGINEERING 2023年 第3期62卷 033108-033108页
作者: Liu, Mengxin Cao, Wenke Wang, Yongteng Yang, Wenjing Yu, Yiming Yue, Qing Sun, Chuanshuo Zhang, Jian Shandong Jianzhu Univ Sch Sci Jinan Shandong Peoples R China
The difference-map (DM) algorithm is an iterative method to retrieve the image of an object from its diffraction pattern. Our study proposes the use of nonnegative constraints, reducing the number of unknown variables... 详细信息
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