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A Labelled Graph Based Multiple Classifier System

机译:基于标签图的多分类器系统

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摘要

In general, classifying graphs with labelled nodes (also known as labelled graphs) is a more difficult task than classifying graphs with unlabelled nodes. In this work, we decompose the labelled graphs into unlabelled subgraphs with respect to the labels, and describe these decomposed subgraphs with the travelling matrices. By utilizing the travelling matrices to calculate the dissimilarity for all pairs of subgraphs with the JoEig approach [6], we can build a base classifier in the dissimilarity space for each label. By combining these label base classifiers with the global structure base classifiers built on dissimilarities of graphs considering the full adjacency matrices and the full travelling matrices, respectively, we can solve the labelled graph classification problem with the multiple classifier system.
机译:通常,与对带有未标记节点的图进行分类相比,对带有标记节点的图进行分类(也称为标记图)是一项更困难的任务。在这项工作中,我们将标签相对于标签分解为未标签的子图,并使用行进矩阵描述这些分解的子图。通过利用旅行矩阵通过JoEig方法计算所有对子图的不相似性[6],我们可以为每个标签在不相似性空间中建立一个基础分类器。通过将这些标签基础分类器与基于图的不相似性而构建的全局结构基础分类器结合起来,分别考虑全邻接矩阵和全行进矩阵,我们可以使用多重分类器系统解决标签图分类问题。

著录项

  • 来源
    《Multiple classifier systems》|2009年|201-210|共10页
  • 会议地点 Reykjavik(IS);Reykjavik(IS)
  • 作者

    Wan-Jui Lee; Robert P.W. Duin;

  • 作者单位

    Faculty of Electrical Engineering, Mathematics and Computer Sciences, Delft University of Technology, The Netherlands;

    Faculty of Electrical Engineering, Mathematics and Computer Sciences, Delft University of Technology, The Netherlands;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP274.3;
  • 关键词

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