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检索条件"机构=Shanghai Key Lab of Intelligent Information Processing School of Computer Science and Technology"
1230 条 记 录,以下是1051-1060 订阅
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An exploration of knowledge integration: A comprehensive view of media characteristics and integration capability  18
An exploration of knowledge integration: A comprehensive vie...
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18th Pacific Asia Conference on information Systems, PACIS 2014
作者: Hong, Daocheng Zhang, Yanchun Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University Shanghai China Centre for Applied Informatics Victoria University Melbourne Australia School of Computer Science Fudan University Shanghai China
With the increasing tendency of information technology (IT) applications, knowledge integration in organization has emerged as an important research topic for both practitioners and researchers, reflecting the magnitu... 详细信息
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Distributed spatial keyword querying on road networks  17
Distributed spatial keyword querying on road networks
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17th International Conference on Extending Database technology, EDBT 2014
作者: Luo, Siqiang Luo, Yifeng Zhou, Shuigeng Cong, Gao Guan, Jihong Yong, Zheng Shanghai Key Lab of Intelligent Information Processing Fudan University China School of Computer Engineering Nanyang Technological University Singapore Singapore Department of Computer Science and Technology Tongji University China
Spatial-keyword queries on road networks are receiving increasing attention with the prominence of location-based services. There is a growing need to handle queries on road networks in distributed environments becaus... 详细信息
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Full eigenvalues of the Markov matrix for scale-free polymer networks
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Physical Review E 2014年 第2期90卷 022816-022816页
作者: Zhongzhi Zhang Xiaoye Guo Yuan Lin School of Computer Science and Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai 200433 China
Much important information about the structural and dynamical properties of complex systems can be extracted from the eigenvalues and eigenvectors of a Markov matrix associated with random walks performed on these sys... 详细信息
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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts
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BMC NEUROscience 2017年 第SUPPL 1期18卷 95-176页
作者: [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ
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The Fudan-UIUC participation in the BioASQ Challenge Task 2a: The antinomyra system
The Fudan-UIUC participation in the BioASQ Challenge Task 2a...
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2014 Cross Language Evaluation Forum Conference, CLEF 2014
作者: Liu, Ke Wu, Junqiu Peng, Shengwen Zhai, Chengxiang Zhu, Shanfeng School of Computer Science Fudan University Shanghai200433 China Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai200433 China School of Information Science and Engineering Central South University 410083 China Department of Computer Science University of Illinois Urbana-ChampaignIL611801 United States
This paper describes the Antinomyra System that participated in the BioASQ Task 2a Challenge for the large-scale biomedical semantic indexing. The system can automatically annotate MeSH terms for MEDLINE citations usi... 详细信息
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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts
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BMC NEUROscience 2016年 第1期17卷 1-112页
作者: [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil
A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mits...
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Parallel optimization of geometric correction algorithm based on CPU-GPU hybrid architecture
Parallel optimization of geometric correction algorithm base...
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International Conference on Vehicle and Mechanical Engineering and information technology, VMEIT 2014
作者: Bai, Hong Tao Li, Yu Gang Chen, Li Ying Wang, Yan Ling Beijing Lab of Intelligent Information Technology School of Computer Science Beijing Institute of Technology Beijing 100081 China Beijing Lab of Intelligent Information Technology School of Computer Science Beijing Institute of Technology Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China
Geometric correction is an essential processing procedure in remote sensing image processing. The algorithms used in geometric correction are time intensive and the size of remote sensing images is very large. Meanwhi... 详细信息
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Revisiting Topological Properties of Protein-Protein Interaction Networks from the Perspective of Dataset Evolution
Revisiting Topological Properties of Protein-Protein Interac...
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IEEE International Conference on Bioinformatics and Biomedicine
作者: Mingyu Shao Shuigeng Zhou Jihong Guan Shanghai Key Lab of Intelligent Information Processing and School of Computer Science Fudan University Department of Computer Science & Technology Tongji University
Protein-protein interaction (PPI) networks are crucial for organisms. Many research efforts have thus been devoted to the study on the topological properties PPI networks. However, existing studies did not always repo... 详细信息
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Replica Location and Selection Strategy Based on Access Cost in P2P Networks
Replica Location and Selection Strategy Based on Access Cost...
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2012 2nd International Conference on Advanced Materials and information technology processing(AMITP 2012)
作者: Xin Sun Chengfeng Ye Kexiang Wang Beijing Key Lab of Intelligent Information Technology School of Computer Science and TechnologyBeijing Institute of Technology
Replication is a common method used to improve the performance of data access in distributed *** existing replica location services mostly deal with read-only data,thus the replica location mechanism is relatively ***... 详细信息
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Generalized Unsupervised Manifold Alignment  14
Generalized Unsupervised Manifold Alignment
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Proceedings of the 28th International Conference on Neural information processing Systems - Volume 2
作者: Zhen Cui Hong Chang Shiguang Shan Xilin Chen Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China and School of Computer Science and Technology Huaqiao University Xiamen China Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China
In this paper, we propose a Generalized Unsupervised Manifold Alignment (GU-MA) method to build the connections between different but correlated datasets without any known correspondences. Based on the assumption that...
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