SPARSENESS

作品数：11被引量：35H指数：4
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相关领域：自动化与计算机技术更多>>
相关作者：胡建中贾民平许飞云彭森崔芳芳更多>>
相关机构：东南大学河北大学更多>>
相关期刊：《High Technology Letters》《Progress in Natural Science:Materials International》《Journal of Southeast University(English Edition)》《Journal of Information Security》更多>>
相关基金：国家自然科学基金国家高技术研究发展计划国家重点基础研究发展计划国家教育部博士点基金更多>>
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Robustness Assessment of Asynchronous Advantage Actor-Critic Based on Dynamic Skewness and Sparseness Computation: A Parallel Computing View
《Journal of Computer Science & Technology》2021年第5期1002-1021,共20页Tong Chen Ji-Qiang Liu He Li Shuo-Ru Wang Wen-Jia Niu En-Dong Tong Liang Chang Qi Alfred Chen Gang Li 
supported by the National Natural Science Foundation of China under Grant Nos.61972025,61802389,61672092,U1811264,and 61966009;the National Key Research and Development Program of China under Grant Nos.2020YFB1005604 and 2020YFB2103802;Guangxi Key Laboratory of Trusted Software under Grant No.KX201902.
Reinforcement learning as autonomous learning is greatly driving artificial intelligence(AI)development to practical applications.Having demonstrated the potential to significantly improve synchronously parallel learn...
关键词：robustness assessment SKEWNESS SPARSENESS asynchronous advantage actor-critic reinforcement learning 
Improved Non-negative Matrix Factorization Algorithm for Sparse Graph Regularization
《国际计算机前沿大会会议论文集》2021年第1期221-232,共12页Caifeng Yang Tao Liu Guifu Lu Zhenxin Wang Zhi Deng 
This work was supported by the National Natural Science Foundation of China(Grant No.61501005);the Anhui Natural Science Foundation(Grant No.1608085 MF 147);the Natural Science Foundation of Anhui Universities(Grant No.KJ2016A057);the Industry Collaborative Innovation Fund of Anhui Polytechnic University and Jiujiang District(Grant No.2021cyxtb4);the Science Research Project of Anhui Polytechnic University(Grant No.Xjky2020120).
Aiming at the low recognition accuracy of non-negative matrix factorization(NMF)in practical application,an improved spare graph NMF(New-SGNMF)is proposed in this paper.New-SGNMF makes full use of the inherent geometr...
关键词：Image recognition Non-negative matrix factorization Graph regularization Basis matrix Sparseness constraints 
Unbalanced classification method using least squares support vector machine with sparse strategy for steel surface defects with label noise
《Journal of Iron and Steel Research International》2020年第12期1407-1419,共13页Li-ming Liu Mao-xiang Chu Rong-fen Gong Xin-yu Qi 
the Natural Science Foundation of Liaoning Province,China(20180550067);Liaoning Province Ministry of Education Scientific Study Project(2020LNZD06 and 2017LNQN11);University of Science and Technology Liaoning Talent Project Grants(601011507-20 and 601013360-17).
Least squares support vector machine (LS-SVM) plays an important role in steel surface defects classification because of its high speed. However, the defect samples obtained from the real production line may be noise....
关键词：Steel surface defect Least squares support vector machine ANTI-NOISE SPARSENESS Unbalanced data 
A review of optimisation strategies used in simultaneous localisation and mapping被引量：5
《Journal of Control and Decision》2019年第1期61-74,共14页Shoudong Huang 
This paper provides a brief review of the different optimisation strategies used in mobile robot simultaneous localisation and mapping(SLAM)problem.The focus is on the optimisation-based SLAM back end.The strategies a...
关键词：SLAM optimisation SPARSENESS dimension reduction submap joining 
Underdetermined Blind Source Separation of Adjacent Satellite Interference Based on Sparseness被引量：10
《China Communications》2017年第4期140-149,共10页Chengjie Li Lidong Zhu Zhongqiang Luo 
supported by a grant from the national High Technology Research and development Program of China (863 Program) (No.2012AA01A502);National Natural Science Foundation of China (No.61179006);Science and Technology Support Program of Sichuan Province(No.2014GZX0004)
The problem of underdetermined blind source separation of adjacent satellite interference is proposed in this paper. Density Clustering algorithm(DC-algorithm) presented in this article is different from traditional m...
关键词：adjacent satellite interference Short Time Fourier Transform Decision Coordinate System real signal transmission 
Improved Scheme for Fast Approximation to Least Squares Support Vector Regression
《Transactions of Nanjing University of Aeronautics and Astronautics》2014年第4期413-419,共7页张宇宸 赵永平 宋成俊 侯宽新 脱金奎 叶小军 
Supported by the National Natural Science Foundation of China(51006052)
The solution of normal least squares support vector regression(LSSVR)is lack of sparseness,which limits the real-time and hampers the wide applications to a certain degree.To overcome this obstacle,a scheme,named I2FS...
关键词：support vector regression kernel method least squares SPARSENESS 
New Video Watermark Scheme Resistant to Super Strong Cropping Attacks
《Journal of Information Security》2012年第2期138-148,共11页Ming Tong Tao Chen Wei Zhang Linna Dong 
Firstly, the nonnegative matrix factorization with sparseness constraints on parts of the basis matrix (NMFSCPBM) method is proposed in this paper. Secondly, the encrypted watermark is embedded into the big coefficien...
关键词：Digital WATERMARKING CROPPING Attack Geometric Attacks NONNEGATIVE Matrix FACTORIZATION (NMF) SPARSENESS Constrain 
Sparseness-controlled non-negative tensor factorization and its application in machinery fault diagnosis被引量：1
《Journal of Southeast University(English Edition)》2009年第3期346-350,共5页彭森 许飞云 贾民平 胡建中 
The National Natural Science Foundation of China (No.50875048);the Natural Science Foundation of Jiangsu Province (No.BK2007115);the National High Technology Research and Development Program of China (863 Program)(No.2007AA04Z421)
Aiming at the problems of bispectral analysis when applied to machinery fault diagnosis, a machinery fault feature extraction method based on sparseness-controlled non-negative tensor factorization （SNTF） is propose...
关键词：non-negative tensor factorization SPARSENESS feature extraction bispectrum gearbox 
Modeling of Isomerization of C_8 Aromatics by Online Least Squares Support Vector Machine被引量：7
《Chinese Journal of Chemical Engineering》2009年第3期437-444,共8页李丽娟 苏宏业 褚建 
Supported by the National Creative Research Groups Science Foundation of China (60721062);the National Basic Research Program of China (2007CB714000)
The least squares support vector regression (LS-SVR) is usually used for the modeling of single output system, but it is not well suitable for the actual multi-input-multi-output system. The paper aims at the modeling...
关键词：least squares support vector machine multi-variable ONLINE SPARSENESS ISOMERIZATION 
Analysis of distribution uniformity of nodes in wireless sensor networks被引量：2
《High Technology Letters》2007年第1期65-68,共4页张振江 
Supported by the National Natural Science Foundation of China （No. 60572035）
Wireless sensor networks have several special characteristics which make against the network coverage, such as shortage of energy, difficulty with energy supply and so on. In order to prolong the lifetime of wireless ...
关键词：distribution uniformity compression discrepancy sparseness discrepancy LIFETIME 
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