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检索条件"机构=Key Laboratory of Data Engineering and Knowledge Engineering and School of Business"
1012 条 记 录,以下是351-360 订阅
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Modeling User_s Cognitive Structure in Contextual Information Retrieval
Modeling User_s Cognitive Structure in Contextual Informatio...
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International Conference on Fuzzy Systems and knowledge Discovery (FSKD)
作者: Xuan Tian Xiaoyong Du He Hu Haihua Li School of Information Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin University of China Beijing China
In contextual information retrieval, the retrieval of information depends on the time and place of submitting query, history of interaction, task in hand, and many other factors that are not given explicitly but impli... 详细信息
来源: 评论
Cross-Modal knowledge Graph Construction for Multiple Food Additives  18th
Cross-Modal Knowledge Graph Construction for Multiple Food ...
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18th Chinese Intelligent Systems Conference, CISC 2022
作者: Wang, Di Li, Haisheng Wang, Wei Qiao, Libing School of Computer Science and Engineering Beijing Technology and Business University Beijing100048 China Beijing Key Laboratory of Big Data Technology for Food Safety Beijing100048 China National Engineering Laboratory for Agri-product Quality Traceability Beijing100048 China
Aiming at the food safety problems caused by the improper use of food additives, a cross-modal knowledge graph for multiple food additives is constructed based on the data obtained from the Internet. Firstly, we desig... 详细信息
来源: 评论
Unsupervised vehicle re-identification with progressive adaptation  29
Unsupervised vehicle re-identification with progressive adap...
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29th International Joint Conference on Artificial Intelligence, IJCAI 2020
作者: Peng, Jinjia Wang, Yang Wang, Huibing Zhang, Zhao Fu, Xianping Wang, Meng College of Information and Science Technology Dalian Maritime University Liaoning Dalian China Pengcheng Laboratory Shenzhen Guangdong China Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Hefei University of Technology China School of Computer Science and Information Engineering Hefei University of Technology China
Vehicle re-identification (reID) aims at identifying vehicles across different non-overlapping cameras views. The existing methods heavily relied on well-labeled datasets for ideal performance, which inevitably causes... 详细信息
来源: 评论
Mining Approximate Closed Frequent Itemsets over Stream
Mining Approximate Closed Frequent Itemsets over Stream
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ACIS International Conference on Software engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)
作者: Haifeng Li Zongjian Lu Hong Chen School of Information Key Laboratory of Data Engineering and Knowledge EngineeringMOEg Renmin University of China Beijing China
Frequent itemset mining is a very important problem in data mining. Closed frequent itemsets is the condensed representation of frequent itemsets thus spend less memory, so it is much suitable for stream mining. But o... 详细信息
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Geometric Routing Precluding Loops and Dead Ends in 3-D Wireless Sensor Networks
Geometric Routing Precluding Loops and Dead Ends in 3-D Wire...
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2010 IEEE Global Telecommunications Conference GLOBECOM 2010
作者: Jun Duan Deying Li Wenping Chen Key Laboratory of Data Engineering and Knowledge Engineering MOE School of Information Renmin University of China Beijing China
Numerous algorithms on geometric networks has been studied, and most of them were based on 2-dimensional networks. But 2-dimensional geometric routing algorithms cannot be directly adapted to the 3-dimensional network... 详细信息
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Cutting Learned Index into Pieces: An In-depth Inquiry into Updatable Learned Indexes
Cutting Learned Index into Pieces: An In-depth Inquiry into ...
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International Conference on data engineering
作者: Jiake Ge Boyu Shi Yanfeng Chai Yuanhui Luo Yunda Guo Yinxuan He Yunpeng Chai Key Laboratory of Data Engineering and Knowledge Engineering MOE China School of Information Renmin University of China China
Numerous high-performance updatable learned indexes have recently been designed to support the writing requirements in practical systems. Researchers have proposed various strategies to improve the availability of upd...
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Sentiment classification via L2-norm deep belief network  11
Sentiment classification via L2-norm deep belief network
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20th ACM Conference on Information and knowledge Management, CIKM'11
作者: Liu, Tao Li, Minghui Zhou, Shusen Du, Xiaoyong Key Laboratory of Data Engineering and Knowledge Engineering MOE 100872 Beijing China School of Information Renmin University of China 100872 Beijing China Microsoft Asian Research and Development Group 100080 Beijing China Shenzhen Graduate School Harbin Institute of Technology 518055 Shenzhen China
Automatic analysis of sentiments expressed in large scale online reviews is very important for intelligent business applications. Sentiment classification is the most popular task of sentiment analysis, which is more ... 详细信息
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Optimizing Random Access to Hierarchically-Compressed data on GPU
Optimizing Random Access to Hierarchically-Compressed Data o...
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Supercomputing Conference
作者: Feng Zhang Yihua Hu Haipeng Ding Zhiming Yao Zhewei Wei Xiao Zhang Xiaoyong Du Key Laboratory of Data Engineering and Knowledge Engineering (MOE) School of Information Renmin University of China Beijing China
GPU's powerful computational capacity holds great potentials for processing hierarchically-compressed data without decompression in data science domain. Unfortunately, existing GPU approaches offer only traversal-... 详细信息
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Research on Web Services Selection Model Based on AHP
Research on Web Services Selection Model Based on AHP
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2008 IEEE International Conference on Service Operations and Logistics, and Informatics(IEEE/SOLI’2008)(IEEE服务运作、物流与信息年会)
作者: Bei Wu Meiyun Zuo Shijuan Wang Information School and Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin University of China BeijingChina
This paper focuses on the problem that how to select the optimal service among many Web services which all meet the functional needs,establishes an index system for Web services products selection from four aspects,na... 详细信息
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Improve Frequent Closed Itemsets Mining over data Stream with Bitmap
Improve Frequent Closed Itemsets Mining over Data Stream wit...
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ACIS International Conference on Software engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)
作者: Haifeng Li Hong Chen Key Laboratory of Data Engineering and Knowledge Engineering MOESchool of Information Renmin University of China Beijing China
Frequent itemsets mining is an important problem in data mining. Frequent closed itemsets mining provides complete and condensed information for frequent pattern analysis thus reduces the memory cost without accuracy ... 详细信息
来源: 评论