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检索条件"机构=Data Engineering and Network Technology Laboratory"
570 条 记 录,以下是491-500 订阅
排序:
On privacy protection of latent dirichlet allocation model training
arXiv
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arXiv 2019年
作者: Zhao, Fangyuan Ren, Xuebin Yang, Shusen Yang, Xinyu School of Computer Science and Technology Xi'an Jiaotong University China National Engineering Laboratory for Big Data Analytics Xi'an Jiaotong University China Ministry of Education Key Lab For Intelligent Networks and Network Security Xi'an Jiaotong University China
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique for discovery of hidden semantic architecture of text datasets, and plays a fundamental role in many machine learning applications. However, like... 详细信息
来源: 评论
INTRODUCTION
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Bulletin of the American Meteorological Society 2024年 第8期105卷 S1-S11页
作者: Boyer, T. Blunden, J. Dunn, R.J.H. NOAA/NESDIS National Centers for Environmental Information Silver Spring Maryland NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina Met Office Hadley Centre Exeter United Kingdom European Centre for Medium-Range Weather Forecasts Reading United Kingdom University of Maryland College Park Maryland Scripps Institution of Oceanography University of California San Diego La Jolla California NOAA/NWS National Centers for Environmental Prediction Climate Prediction Center College Park Maryland Brandenburg University of Technology (BTU) Cottbus-Senftenberg Germany Servicio Meteorológico Nacional Buenos Aires Argentina NOAA/OAR Physical Sciences Laboratory Boulder Colorado European Centre for Medium-Range Weather Forecasts Bonn Germany Center for Geophysical Research and School of Physics University of Costa Rica San José Costa Rica Department of Meteorology and National Centre for Earth Observation University of Reading Reading United Kingdom Centro Nacional de Monitoramento e Alertas de Desastres Naturais CEMADEN São Paulo Brazil Université Grenoble Alpes Institut des Géosciences de l’Environnement IRD CNRS Grenoble INP Grenoble France Hampton University Hampton Virginia Seychelles Meteorological Authority Mahe Seychelles Section for Glaciers Ice and Snow Norwegian Water Resources and Energy Directorate Oslo Norway National Research Institute for Agriculture Food and Environment (INRAE) CARRTEL Université Savoie Mont Blanc Thonon les Bains France Graduate School of Agriculture Osaka Metropolitan University Sakai Japan Science Faculty Universidad Nacional de Colombia Bogotá Colombia University of Bremen Bremen Germany NOAA Global Monitoring Laboratory Boulder Colorado Servicio Nacional de Meteorología e Hidrología del Perú Lima Perú Centro de Investigaciones sobre Desertificación – Spanish National Research Council (CSIC-UV-GVA) Valencia Spain Hydro-Climate Extremes Lab (H-CEL) Ghent University Ghent Belgium Department o
In 2023, La Niña conditions that generally prevailed in the eastern Pacific Ocean from mid-2020 into early 2023 gave way to a strong El Niño by October. Atmospheric concentrations of Earth’s major greenhous...
来源: 评论
Nonlinear Prediction with Deep Recurrent Neural networks for Non-Blind Audio Bandwidth Extension
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China Communications 2018年 第4期15卷 72-85页
作者: Lin Jiang Ruimin Hu Xiaochen Wang Weiping Tu Maosheng Zhang National Engineering Research Center for Multimedia Software School of Computer Science Wuhan University Wuhan 430072 China Institute of Big Data and internet Innovation Hunan University of Commerce Changsha 410205 China Software College East China University of Technology Nanchang 330013 China Collaborative Innovation Center for Economics crime investigation and prevention technology Jiangxi Province Nanchang 330103China Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan 430072 China Collaborative Innovation Center of Geospatial Technology Wuhan 430079 China
Non-blind audio bandwidth extension is a standard technique within contemporary audio codecs to efficiently code audio signals at low bitrates. In existing methods, in most cases high frequencies signal is usually gen... 详细信息
来源: 评论
On self-duality and hulls of cyclic codes over 2m[u]huki with oddly even length
arXiv
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arXiv 2019年
作者: Cao, Yonglin Cao, Yuan Fu, Fang-Wei School of Mathematics and Statistics Shandong University of Technology Zibo Shandong255091 China Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering Changsha University of Science and Technology Changsha Hunan410114 Hubei Key Laboratory of Applied Mathematics Faculty of Mathematics and Statistics Hubei University Wuhan430062 Chern Institute of Mathematics and Lpmc Tianjin Key Laboratory of Network and Data Security Technology Nankai University Tianjin300071 China
Let F2m be a finite field of 2m elements, and R = F2m[u]/huki = 2m + u2m + . . . + uk-1F2m (uk = 0) where k is an integer satisfying k ≥ 2. For any odd positive integer n, an explicit representation for every self-du...
来源: 评论
A Recurrent Gaussian Process Regression Model with Composite Kernel for Industrial Process Quality Prediction
A Recurrent Gaussian Process Regression Model with Composite...
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International Conference on networking and network Applications (NaNA)
作者: Yanping Chen Cong Gao Weihui Yang Zhongmin Wang Zhong Yu Hong Xia School of Computer Science and Technology Xi'an University of Posts and Telecommunications Xi'an China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi'an University of Posts and Telecommunications Xi'an China School of Communication and Information Engineering Xi'an University of Posts and Telecommunications Xi'an China
With the blooming development of Industry 4.0, the management of industrial processes has drawn a lot of research attention. We employed the Gaussian process regression model to predict the key indicators of an indust... 详细信息
来源: 评论
Spot evasion attacks: Adversarial examples for license plate recognition systems with convolutional neural networks
arXiv
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arXiv 2019年
作者: Qian, Ya-Guan Ma, Dan-Feng Wang, Bin Pan, Jun Wang, Jia-Min Chen, Jian-Hai Zhou, Wu-Jie Lei, Jing-Sheng School of Big-Data Science Zhejiang University of Science and Technology Hangzhou310023 China Network and Information Security Laboratory of Hangzhou Hikvision Digital Technology Co. Ltd. Hang Zhou310052 China College of Computer Science and Technology Zhejiang University Hangzhou310027 China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou310023 China
Recent studies have shown convolutional neural networks (CNNs) for image recognition are vulnerable to evasion attacks with carefully manipulated adversarial examples. Previous work primarily focused on how to generat... 详细信息
来源: 评论
A comprehensive analysis of video service quality on IQIYI from large-scale data sets  13th
A comprehensive analysis of video service quality on IQIYI f...
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13th International Conference on Heterogeneous networking for Quality, Reliability, Security and Robustness, QShine 2017
作者: Guo, Yao Lv, Qiujian Liu, Fang Yang, Jie Gao, Zhe Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Center for Data Science BUPT Beijing100876 China Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China Technology Research Institute Aisino Corporation Beijing100086 China
With the proliferation of online video, measuring the quality of the video service has become a vital aspect for improving user’s experience. Recent work shows that measurable quality metrics such as buffering, bitra... 详细信息
来源: 评论
Exploiting Gabor Feature Extraction Method for Chinese Character Writing Quality Evaluation
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Journal of Physics: Conference Series 2020年 第1期1575卷
作者: Zhixiao Wang Wenyao Yan Mingtao Guo Jiulong Zhang School of Computer Science and Engineering Xi'an University of Technology Xi'an 710048 China Shaanxi Key Laboratory Xi'an of Network Computing and Security Technology China School of Data Science and Computer Xi'an innovation college of Yan'an University Xi'an 710100 China
The automatic evaluation of Chinese character writing quality has a wide application prospect. Most of the existing evaluation methods of Chinese character writing quality are based on radical segmentation and feature...
来源: 评论
DisCANTree: A Distributed Algorithm for Incremental Frequent Itemset Mining based on MapReduce
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Journal of Physics: Conference Series 2020年 第1期1682卷
作者: Wen Xiao Juan Hu Key Laboratory of Unmanned Aerial Vehicle Development & Data Application of Anhui Higher Education Institutes Wanjiang University of Technology Maanshan 243000 China Ma'anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Wanjiang University of Technology Maanshan 243000 China
Frequent itemset mining is one of the most important data mining tasks. Classical frequent itemset mining algorithms need to store data in a centralized way and run in a batch way, which cannot meet the requirements o...
来源: 评论
A rich ranking model based on the matthew effect optimization  7th
A rich ranking model based on the matthew effect optimizatio...
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7th International Conference on Computational data and Social networks, CSoNet 2018
作者: Li, Jinzhong Liu, Guanjun Department of Computer Science and Technology College of Electronic and Information Engineering Jinggangshan University Ji’an343009 China Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Chengdu610054 China Department of Computer Science and Technology College of Electronic and Information Engineering Tongji University Shanghai201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai201804 China
Most existing approaches of learning to rank treat the effectiveness of each query equally which results in a relatively lower ratio of queries with high effectiveness (i.e. rich queries) in the produced ranking model... 详细信息
来源: 评论