云南高校图书馆联盟文献共享服务平台- SPARSITY

SPARSITY: 作品数：142被引量：233H指数：7; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：李国发张若愚赵洪林孙赞东谢会文更多>>; 相关机构：中国石油大学(北京)中国科学院上海交通大学中国石油更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金福建省自然科学基金更多>>

Bayesian Network Reconstruction and Iterative Divergence Problem Solving Method Based on Norm Minimization: 《Computer Modeling in Engineering & Sciences》2025年第4期617-637,共21页Kuo Li Aimin Wang Limin Wang Yuetan Zhao Xinyu Zhu; supported by the Scientific and Technological Developing Scheme of Jilin Province,China(No.20240101371JC);the National Natural Science Foundation of China(No.62107008).; A Bayesian network reconstruction method based on norm minimization is proposed to address the sparsity and iterative divergence issues in network reconstruction caused by noise and missing values.This method achieves...; 关键词：Bayesian norm minimization network reconstruction iterative divergence SPARSITY

Enhancing BERTopic with Pre-Clustered Knowledge: Reducing Feature Sparsity in Short Text Topic Modeling: 《Journal of Data Analysis and Information Processing》2024年第4期597-611,共15页Qian Wang Biao Ma; Modeling topics in short texts presents significant challenges due to feature sparsity, particularly when analyzing content generated by large-scale online users. This sparsity can substantially impair semantic captur...; 关键词：Topic Model BERTopic Short Text Feature Sparsity CLUSTER

Optimality Conditions for Double-sparsity Constrained Optimization: 《数学进展》2024年第6期1145-1157,共13页WANG Dongrui XIU Naihua ZHOU Shenglong; Supported by the National Key R&D Program of China(No.2023YFA1011100);NSFC(No.12131004)。; Sparse optimization has witnessed advancements in recent decades,and the step function finds extensive applications across various machine learning and signal processing domains.This paper integrates zero norm and the...; 关键词：double-sparsity constrained optimization Lagrangian stationary point KKT point optimality condition

Denoising Data with Random Matrix Theory: 《Journal of Applied Mathematics and Physics》2024年第11期3902-3911,共10页Nathan Jiang; Properties from random matrix theory allow us to uncover naturally embedded signals from different data sets. While there are many parameters that can be changed, including the probability distribution of the entries,...; 关键词：Random Matrix Theory UNIVERSALITY Wishart Matrices Marchenko-Pastur (M-P) Distribution Noise SPARSITY SIGNALING Linear Sketching

Trace Lasso Regularization for Adaptive Sparse Canonical Correlation Analysis via Manifold Optimization Approach: 《Journal of the Operations Research Society of China》2024年第3期573-599,共27页Kang-Kang Deng Zheng Peng; supported by the National Science Foundation of China(No.12071398);the Natural Science Foundation of Hunan Province(No.2020JJ4567);the Key Scientific Research Found of Hunan Education Department(Nos.20A097 and 18A351).; Canonical correlation analysis(CCA)describes the relationship between two sets of variables by finding a linear combination that maximizes the correlation coefficient.However,in high-dimensional settings where the num...; 关键词：Canonical correlation analysis Sparsity of canonical vectors Trace Lasso regularization Manifold optimization

High Order Total Variational Denoising Algorithm Based on l_(0) Overlapping Combination Sparse: 《Instrumentation》2024年第3期30-40,共11页Binxin Tang Xianchun Zhou Chengcheng Cui Yang Rui; funded by National Nature Science Foundation of China,grant number 61302188。; For addressing impulse noise in images, this paper proposes a denoising algorithm for non-convex impulse noise images based on the l_(0) norm fidelity term. Since the total variation of the l_(0) norm has a better den...; 关键词：image denoising overlapping group sparsity high-order total variation l_(0)-norm ADMM

Joint fuzzy background and adaptive foreground model for moving target detection: 《Frontiers of Computer Science》2024年第2期93-106,共14页Dawei ZHANG Peng WANG Yongfeng DONG Linhao LI Xin LI; supported in part by the National Natural Science Foundation of China (Grant No.61902106);in part by the Natural Science Foundation of Hebei Province (No.F2020202028).; Moving target detection is one of the most basic tasks in computer vision.In conventional wisdom,the problem is solved by iterative optimization under either Matrix Decomposition(MD)or Matrix Factorization(MF)framewor...; 关键词：matrixdecomposition matrix factorization generalized sparsity noise modeling

SWG:an architecture for sparse weight gradient computation被引量：1: 《Science China(Information Sciences)》2024年第2期298-317,共20页Weiwei WU Fengbin TU Xiangyu LI Shaojun WEI Shouyi YIN; supported in part by National Natural Science Foundation of China(Grant Nos.U19B2041,62125403,92164301);National Key Research and Development Program(Grant No.2021ZD0114400);Science and Technology Innovation 2030–New Generation of AI Project(Grant No.2022ZD0115201);Beijing National Research Center for Information Science and Technology;Beijing Advanced Innovation Center for Integrated Circuits.; On-device training for deep neural networks(DNN)has become a trend due to various user preferences and scenarios.The DNN training process consists of three phases,feedforward(FF),backpropagation(BP),and weight gradien...; 关键词：CNN TRAINING gradient computation SPARSITY ARCHITECTURE

Enhancing Multicriteria-Based Recommendations by Alleviating Scalability and Sparsity Issues Using Collaborative Denoising Autoencoder: 《Computers, Materials & Continua》2024年第2期2269-2286,共18页S.Abinaya K.Uttej Kumar; A Recommender System(RS)is a crucial part of several firms,particularly those involved in e-commerce.In conventional RS,a user may only offer a single rating for an item-that is insufficient to perceive consumer prefe...; 关键词：Recommender systems multicriteria rating collaborative filtering sparsity issue scalability issue stacked-autoencoder Kernel Fuzzy C-Means Clustering

Sparsity-Enhanced Model-Based Method for Intelligent Fault Detection of Mechanical Transmission Chain in Electrical Vehicle: 《Computer Modeling in Engineering & Sciences》2023年第12期2495-2511,共17页Wangpeng He Yue Zhou Xiaoya Guo Deshun Hu Junjie Ye; This research is supported financially by the NationalNatural Science Foundation of China(Grant No.51805398);the Natural Science Basic Research Program of Shaanxi(Grant No.2023-JC-YB-289);the Project of Youth Talent Lift Program of Shaanxi University Association for Science and Technology(Grant No.20200408);the Fundamental Research Funds for the Central Universities(Grant No.JB211303).; In today’s world,smart electric vehicles are deeply integrated with smart energy,smart transportation and smart cities.In electric vehicles(EVs),owing to the harsh working conditions,mechanical parts are prone to fat...; 关键词：Electric vehicles fractal wavelet decomposition fault diagnosis sparse representation cycle-stationary process

SPARSITY