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Learning consensus and complementary bipartite graph through orthogonal transformation for multi-view subspace clustering

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Expert Systems with Applications 2025年 286卷

作者： Li, Xiangli Wei, Jiafeng Xie, Tengchi School of Mathematics and Computing Science Guilin University of Electronic Technology Guangxi 541004 China Center for Applied Mathematics of Guangxi Guangxi 541004 China Guangxi Colleges and University Key Laboratory of Data Analysis and Computation Guangxi 541004 China

In order to effectively utilize the consensus and complementary information in multi-view data to achieve better clustering performance, a large number of multi-view clustering algorithms have been proposed. A common multi-view subspace clustering method for mining consensus information is to learn a uniform consensus representation matrix for multiple views. But there are currently studies questioning the rationality of this method. To address this issue, the research in this paper establishes a link between view-specific representation matrices and consensus representation matrices, making the learning of consensus representation matrices more reasonable. Specifically, this paper considers the vectors formed by the representation coefficients of the samples as embeddings of the sample features in the Rm linear space, after which a mapping relationship will be established between the view-specific representation matrices and the consensus representation matrices to learn reasonable consensus representation matrices. Extensive experiments on eight benchmark datasets show that the proposed algorithm is effective and competitive. © 2025 Elsevier Ltd

关键词： Clustering algorithms

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An SCADTV Nonconvex Regularization Approach for Magnetic Resonance Imaging

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2021年第4期48卷 1013页

作者： Luo, Zhijun Zhu, Zhibin Zhang, Benxin School of Mathematics and Finance Hunan University of Humanities Science and Technology Loudi417000 China School of Mathematics and Computing Science and Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic Technology Guilin541004 China School of Electronic Engineering and Automation and Guangxi Key Laboratory of Automatic Detecting Technology and Instruments Guilin University of Electronic Technology Guilin541004 China

In this paper, we propose a non-convex regularization magnetic resonance imaging (MRI) reconstruction model via the smoothly clipped absolute deviation (SCAD) penalty function, which can effectively improve the fitting performance and prevent systematic underestimation compared with the classical total variation (TV) regularization. Then, we choose the alternating direction method of multipliers (ADMM) algorithm to solve the non-convex regularization model. The experiment results show that the efficiency of the proposed model and algorithm in comparison with some other typical methods. © 2021. IAENG International Journal of Computer Science. All Rights Reserved.

关键词： Magnetic resonance imaging

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A Symmetric ADMM for Non-convex Regularization Magnetic Resonance Imaging

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2021年第4期48卷 1005页

作者： Luo, Zhijun Zhu, Zhibin Zhang, Benxin School of Mathematics and Finance Hunan University of Humanities Science and Technology Loudi417000 China School of Mathematics and Computing Science Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic Technology Guilin541004 China School of Electronic Engineering Automation and Guangxi Key Laboratory of Automatic Detecting Technology and Instruments Guilin University of Electronic Technology Guilin541004 China

The total variation (TV) regularization technique is a popular method for magnetic resonance imaging (MRI) reconstruction. In this paper, the generalized minimax concave (GMC) penalty function is used to construct a nonconvex regularized MRI model, which can effectively prevent the systematic underestimation characteristic of the standard TV regularization. In addition, the cost function can maintain convexity under certain conditions. To solve the new non-convex model, we describe a symmetric alternating direction method of multipliers (S-ADMM) algorithm, which is faster than the original ADMM. The experiment results show the effectiveness of the proposed model and algorithm. © 2021. IAENG International Journal of Computer Science. All Rights Reserved.

关键词： Magnetic resonance imaging

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The Extension of Combinatorial Solutions for Cooperative Games 1

引用

3rd East Asia Game Theory International Conference, EAGT 2019

作者： Nan, Jiang-Xia Wei, Li-Xiao Zhang, Mao-Jun School of Mathematics and Computing Science Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic Technology GuilinGuangxi541004 China

ISBN: (数字)9789811506574

ISBN: (纸本)9789811506567

In this paper, a new model to solve the social selfish coefficient (Forumala presented). for the (Forumala presented). -egalitarian Shapley values and a new convex combinations of single-value in terms of a coalition forming weight coefficient (Forumala presented)., which is called the SCE value for cooperative games are presented. The efficiency, linearity, symmetry and (Forumala presented). -dummy player property of the SCE value are proved. By proposing a procedural interpretation, we define the (Forumala presented). as the coalition forming weight (or possibility) coefficient and find a new way of assigning the grand coalition profit among all players is coincided with the SCE value which verify the SCE value’s validity, applicability and superiority. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Game theory

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The Volatility of High-Yield Bonds Using Mixed data Sampling Methods

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Computers, Materials & Continua 2019年第9期61卷 1233-1244页

作者： Maojun Zhang Jiajin Yao Zhonghang Xia Jiangxia Nan Cuiqing Zhang Department of Computational Science and Mathematics Guilin University of Electronic TechnologyGuilin541004China Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic TechnologyGuilin541004China School of Engineering and Applied Science Western Kentucky UniversityKY42101America

It is well known that economic policy uncertainty prompts the volatility of the high-yield bond ***,the correlation between economic policy uncertainty and volatility of high-yield bonds is still not *** this paper,we employ GARCH-MIDAS models to investigate their correlation with US economic policy uncertainty index and S&P high-yield bond *** empirical studies show that mixed volatility models can effectively capture the realized volatility of high-yield bonds,and economic policy uncertainty and macroeconomic factors have significant effects on the long-term component of high-yield bonds volatility.

关键词： High-yield bonds economic policy garch-midas macroeconomic

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Local averaging type a posteriori error estimates for the nonlinear steady-state Poisson-Nernst-Planck equations

arXiv

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arXiv 2020年

作者： Yang, Ying Shen, Ruigang Fang, Mingjuan Shu, Shi School of Mathematics and Computational Science Guangxi Colleges Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic Technology Guilin541004 China School of Mathematics and Computational Science Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Xiangtan411105 China School of Mathematics and Computational Science Guilin University of Electronic Technology GuilinGuangxi541004 China Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan411105 China

The a posteriori error estimates are studied for a class of nonlinear stead-state Poisson-Nernst-Planck equations, which are a coupled system consisting of the Nernst-Planck equation and the Poisson equation. Both the global upper bounds and the local lower bounds of the error estimators are obtained by using a local averaging operator. Numerical experiments are given to confirm the reliability and efficiency of the error estimators. Copyright © 2020, The Authors. All rights reserved.

关键词： Finite element method

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The Method for Solving Bi-matrix Games with Intuitionistic Fuzzy Set Payoffs 1

引用

3rd East Asia Game Theory International Conference, EAGT 2019

作者： Nan, Jiang-Xia Zhang, Li Li, Deng-Feng School of Mathematics and Computing Science Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic Technology GuilinGuangxi541004 China School of Economics and Management Fuzhou University FuzhouFujian350108 China

ISBN: (数字)9789811506574

ISBN: (纸本)9789811506567

The aim of this paper is to develop a bilinear programming method for solving bi-matrix games in which the payoffs are expressed with intuitionistic fuzzy sets (IFSs), which are called IFS bi-matrix games for short. In this method, using the equivalent relation between IFSs and interval-valued fuzzy sets (IVFSs) and the operations of IVFSs, we propose a new order relation of IFSs through introducing a ranking function, which is proven to be a total order relation. Hereby we introduce the concepts of solutions of IFS bi-matrix games and parametric bi-matrix games. It is proven that any IFS bi-matrix game has at least one satisfying Nash equilibrium solution, which is equivalent to the Nash equilibrium solution of corresponding parametric bi-matrix game. The latter can be obtained through solving the auxiliary parametric bilinear programming model. The models and method proposed in this paper are demonstrated with a real example of the e-commerce retailers’ strategy choice problem. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Game theory

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Modulus-Based Matrix Splitting Iteration Methods for a Class of Stochastic Linear Complementarity Problem

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American Journal of Operations Research 2019年第6期9卷 245-254页

作者： Qianqian Lu Chenliang Li School of Mathematics and Computing Science Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic Technology Guilin China

For the expected value formulation of stochastic linear complementarity problem, we establish modulus-based matrix splitting iteration methods. The convergence of the new methods is discussed when the coefficient matrix is a positive definite matrix or a positive semi-definite matrix, respectively. The advantages of the new methods are that they can solve the large scale stochastic linear complementarity problem, and spend less computational time. Numerical results show that the new methods are efficient and suitable for solving the large scale problems.

关键词： Stochastic Linear Complementarity Problem Modulus-Based Matrix Splitting Expected Value Formulation Positive Semi-Definite Matrix

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Low-overhead pieceable fault-tolerant construction of logical controlled-phase circuit for degenerate quantum code*

Low-overhead pieceable fault-tolerant construction of logica...

引用

IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)

作者： Chen Lin Guowu Yang Jinzhao Wu Big Data Research Center School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu P.R. China Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis Guangxi University for Nationalities Nanning

ISBN: (数字)9781728170053

ISBN: (纸本)9781728170060

We propose a non-transversal but pieceable fault-tolerant conversion circuit that is used to convert encoded information between five-qubit code and seven-qubit CSS code. Since a syndrome extraction circuit requiring fewer ancillary qubit resources would facilitate the realization of large-scale quantum computations, we further adapt a flag-assisted fault-tolerant syndrome measurement scheme to reduce the cost of ancillary preparation. Numerical simulations are also performed to further analyze the performance of our conversion method.

关键词： Fault tolerance Fault tolerant systems Quantum computing Logic gates Circuit faults Error analysis Error correction codes

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Corrigendum to “Random projection ensemble conformal prediction for high-dimensional classification” [Chemometr. Intell. Lab. Syst. 253 (2024) 1–10, 105225]

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Chemometrics and Intelligent laboratory Systems 2024年 254卷

作者： Xiaoyu Qian Jinru Wu Ligong Wei Youwu Lin School of Mathematics and Computing Science Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic Technology Guilin 541002 PR China Guangxi Academy of Sciences High-tech Group Co. LTD Nanning 530007 PR China Center for Applied Mathematics of Guangxi (GUET) Guilin 541002 PR China Guanghua School of Management Peking University Beijing PR China

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