...
首页> 外文期刊>Pattern recognition letters >Generalised median of graph correspondences
【24h】

Generalised median of graph correspondences

机译:图对应的广义中值

获取原文
获取原文并翻译 | 示例
           

摘要

A graph correspondence is defined as a function that maps the elements of two attributed graphs. Due to the increasing availability of methods to perform graph matching, numerous graph correspondences can be deducted for a pair of attributed graphs. To obtain a representative prototype for a set of data structures, the concept of the median has been largely employed, as it has proven to deliver a robust sample. Nonetheless, the calculation of the exact (or generalised) median is known to be an NP-complete problem for most domains. In this paper, we present a method based on an optimisation function to calculate the generalised median graph correspondence. This method makes use of the Correspondence Edit Distance, which is a metric that considers the attributes and the local structures of the graphs to obtain more interesting and meaningful results. Experimental validation shows that this approach is capable of obtaining the generalised median in a comparable runtime with respect to state-of-the-art methods on artificial data, while maintaining the success rate for a real-application case. (C) 2019 Elsevier B.V. All rights reserved.
机译:图对应关系被定义为映射两个属性图的元素的函数。由于执行图匹配的方法的可用性越来越高,可以为一对属性图推导许多图对应关系。为了获得一组数据结构的代表性原型,中位数的概念已被广泛采用,因为它已被证明可以提供可靠的样本。但是,对于大多数域来说,准确(或广义)中位数的计算是一个NP完全问题。在本文中,我们提出了一种基于优化函数的方法来计算广义中值图对应关系。该方法利用了对应编辑距离,该距离是一种考虑图形的属性和局部结构以获得更有趣和有意义的结果的度量。实验验证表明,相对于人工数据的最新方法,该方法能够在可比的运行时中获得广义中值,同时保持实际应用案例的成功率。 (C)2019 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Pattern recognition letters》 |2019年第7期|389-395|共7页
  • 作者单位

    Robert Gordon Univ, Garthdee Rd, Aberdeen, Scotland;

    Univ Rovira & Virgili, Av Paisos Catalans 26, Tarragona, Catalonia, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号