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检索条件"机构=MOE Key Lab. of Data Engineering and Knowledge Engineering"
56 条 记 录,以下是11-20 订阅
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Ontology hierarchies matching by lattices alignment
Ontology hierarchies matching by lattices alignment
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2nd International Workshop on Ontology Matching, OM-2007 - Collocated with the 6th International Semantic Web Conference, ISWC-2007 and the 2nd Asian Semantic Web Conference, ASWC-2007
作者: He, Hu Du, Xiaoyong School of Information Renmin University of China 100872 Beijing China Key Lab. of Data and Knowledge Engineering MOE 100872 Beijing China
Ontology matching determines the correspondences between concepts and relations of related ontologies. In this paper, we put forward an ontology hierarchies matching approach based on lattices alignment. The proposed ... 详细信息
来源: 评论
Integrated retrieval over structured and unstructured data
Integrated retrieval over structured and unstructured data
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2012 Cross Language Evaluation Forum Conference, CLEF 2012
作者: Wang, Qiuyue Kang, Jinglin School of Information Renmin University of China Beijing100872 China Key Lab of Data Engineering and Knowledge Engineering MOE Beijing100872 China
We report our experiment results on the INEX 2012 Linked data Track. We participated in the ad hoc and jeopardy tasks. As the new data collection on INEX 2012 Linked data Track features a combination of unstructured a... 详细信息
来源: 评论
Fusing concept detection and geo context for visual search  12
Fusing concept detection and geo context for visual search
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2nd ACM International Conference on Multimedia Retrieval, ICMR 2012
作者: Li, Xirong Snoek, Cees G.M. Worring, Marcel Smeulders, Arnold W.M. MOE Key Lab of Data Engineering and Knowledge Engineering Renmin University of China China Intelligent Systems Lab Amsterdam University of Amsterdam Netherlands Centrum Wiskunde and Informatica Netherlands
Given the proliferation of geo-tagged images, the question of how to exploit geo tags and the underlying geo context for visual search is emerging. Based on the observation that the importance of geo context varies ov... 详细信息
来源: 评论
Renmin University of China at ImageCLEF 2013 scalab.e concept image annotation
Renmin University of China at ImageCLEF 2013 scalable concep...
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2013 Cross Language Evaluation Forum Conference, CLEF 2013
作者: Li, Xirong Liao, Shuai Liu, Binbin Yang, Gang Jin, Qin Xu, Jieping Du, Xiaoyong Key Lab of Data Engineering and Knowledge Engineering MOE Japan Multimedia Computing Lab School of Information Renmin University of China Zhongguancun Street 59 Beijing100872 China
In this paper we describe our image annotation system par ticipated in the ImageCLEF 2013 scalab.e concept image annotation task. The system leverages multiple base classifiers, including single feature and multi-feat... 详细信息
来源: 评论
Cross-codebook image classification
Cross-codebook image classification
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14th Pacific-Rim Conference on Multimedia, PCM 2013
作者: Liao, Shuai Li, Xirong Du, Xiaoyong Key Lab of Data Engineering and Knowledge Engineering MOE China School of Information Renmin University of China Beijing 100872 China State Key Lab of Software Development Environment Beijing 100191 China
Representing images by bag of visual codes (BoVC) features has been the cornerstone of state-of-the-art image classification system. Since the BoVC features depend on a precomputed codebook in use, when the codebook a... 详细信息
来源: 评论
A collab.rative join scheme on a MIC-based heterogeneous platform
A collaborative join scheme on a MIC-based heterogeneous pla...
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Lecture Notes in Computer Science
作者: Zhou, Kailai Sun, Hui Chen, Hong Wu, Tianzhen Li, Cuiping Key Lab of Data Engineering and Knowledge Engineering of MOE School of Information Renmin University of China Beijing China School of Computer and Information Southwest Forestry University Kunming China
Join is one of the most important operations in data analytics systems. Prior works focus mainly on join optimization using GPUs, but little is known about performance impact on the MICs. In order to investigate poten... 详细信息
来源: 评论
Overview of the INEX 2011 data-centric track
Overview of the INEX 2011 data-centric track
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Lecture Notes in Computer Science
作者: Wang, Qiuyue Ramírez, Georgina Marx, Maarten Theobald, Martin Kamps, Jaap School of Information Renmin University of China China Key Lab. of Data Engineering and Knowledge Engineering MOE China Universitat Pompeu Fabra Spain University of Amsterdam Netherlands Max-Planck-Institut für Informatik Germany
This paper presents an overview of the INEX 2011 data-Centric Track. Having the ad hoc search task running its second year, we introduced a new task, faceted search task, whose goal is to provide the infrastructure to... 详细信息
来源: 评论
Parallel SimRank computation on large graphs with iterative aggregation
Parallel SimRank computation on large graphs with iterative ...
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16th ACM SIGKDD International Conference on knowledge Discovery and data Mining, KDD-2010
作者: He, Guoming Feng, Haijun Li, Cuiping Chen, Hong Key Lab. of Data Engineering and Knowledge Engineering of Ministry of Education China Department of Computer Science Renmin University of China China No. 59 Zhongguancun Street Haidian District Beijing China
Recently there has been a lot of interest in graph-based analysis. One of the most important aspects of graph-based analysis is to measure similarity between nodes in a graph. SimRank is a simple and influential measu... 详细信息
来源: 评论
Probabilistic range queries for Uncertain Trajectories on road networks  11
Probabilistic range queries for Uncertain Trajectories on ro...
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14th International Conference on Extending database Technology: Advances in database Technology, EDBT 2011
作者: Zheng, Kai Trajcevski, Goce Zhou, Xiaofang Scheuermann, Peter School of ITEE University of Queensland Australia Department of EECS Northwestern University United States School of Information Renmin University of China Key Lab. of Data Engineering and Knowledge Engineering Ministry of Education China
Trajectories representing the motion of moving objects are typically obtained via location sampling, e.g. using GPS or road-side sensors, at discrete time-instants. In-between consecutive samples, nothing is known abo... 详细信息
来源: 评论
Efficient Computation of Reverse Skyline on data Stream
Efficient Computation of Reverse Skyline on Data Stream
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The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)
作者: Ling Zhu Cuiping Li Hong Chen School of Information Renmin University of China Key Lab of Data Engineering and Knowledge Engineering of MOE
Reverse Skyline Queries have been proved very useful in business location, environmental monitoring and some other applications. In this paper, we consider reverse skyline queries processing on data stream, which prov... 详细信息
来源: 评论