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  1. A-mail-community-partition-

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  2. 基于核心图聚类的邮件网络社区发现.pdf-A mail community partition based on coring graph clustering.pdf
  3. 所属分类:Development Research

    • 发布日期:2017-11-01
    • 文件大小:358.23kb
    • 提供者:jzw
  1. SpectralSurfaceReconstructionfromNoisyPointClouds.

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  2. We introduce a noise-resistant algorithm for reconstructing a watertight surface from point cloud data. It forms a Delaunay tetrahedralization, then uses a variant of spectral graph partitioning to decide whether each tetrahedron is inside or out
  3. 所属分类:Development Research

    • 发布日期:2017-05-23
    • 文件大小:7.25mb
    • 提供者:madison
  1. On-link-privacy

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  2. 利用相似性理论,并结合匿名图中边存在的后验概率,攻击匿名图中的链接关系-how well an dege based graph randomization approach can protect sensitive links
  3. 所属分类:Development Research

    • 发布日期:2017-03-30
    • 文件大小:186.69kb
    • 提供者:谢小红
  1. Community_Detection

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  2. 社区发现和社会媒体挖掘,介绍了相关算法和演化-discuss graph-based community detection techniques and many important extensions that handle dynamic, heterogeneous networks in social media
  3. 所属分类:Development Research

    • 发布日期:2017-05-04
    • 文件大小:1.36mb
    • 提供者:gzy
  1. p2p-networks-and-random-graphs

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  2. A PhD thesis by Peter Mahlmann. Devoted to design and implementation of P2P networks, based on random graphs. It creates a low-latency model for a P2P network, based on random graph theory. Contains links to a Java implementation of the prototype.
  3. 所属分类:Development Research

  1. Coloring-Problem

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  2. Cellular Learning Automata-based Graph Coloring Problem
  3. 所属分类:Development Research

    • 发布日期:2017-04-02
    • 文件大小:98.29kb
    • 提供者:mhfff
  1. GRAPH_SEG

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  2. graph based segmentation using matlab for image segmentation
  3. 所属分类:Development Research

    • 发布日期:2017-05-11
    • 文件大小:2.42mb
    • 提供者:Meghadas
  1. Hyperspectral-Image-Classification-Through-Bilaye

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  2. Hyperspectral image classification with limited number of labeled pixels is a challenging task. In this paper, we propose a bilayer graph-based learning framework to address this problem. For graph-based classification, how to establish the n
  3. 所属分类:Development Research

    • 发布日期:2017-05-13
    • 文件大小:2.72mb
    • 提供者:bala
  1. KREAG

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  2. 语义网数据的大量增加使得RDF数据查询成为一个重要研究主题。关键词查询方式不需要掌握数据模式或查询语言,更适合普通用户使用。文中提出一种RDF数据关键词查询方法KREAG(Keyword query over RDF data based on Entity-triple Association Graph)-A substantial increase in the Semantic Web RDF data query such data become an important resear
  3. 所属分类:Development Research

    • 发布日期:2017-05-03
    • 文件大小:752.63kb
    • 提供者:jim
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