Trends in graph -based representations for Pattern Recognition

被引：13

作者：

Brun, Luc ^{[2
]}

Foggia, Pasquale ^{[1
]}

Vento, Mario ^{[1
]}

机构：

[1] Univ Salerno, Dept Informat & Elect Engn & Appl Math, Fisciano, Italy

[2] GreyC Ecole Natl Super Ingn Caen ENSICAEN, Caen, France

来源：

PATTERN RECOGNITION LETTERS | 2020年 / 134卷

关键词：

Graph-based representations; Graph matching; Graph edit distance; Graph kernels; KERNELS;

D O I：

10.1016/j.patrec.2018.03.016

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we try to examine recent trends on the use of graph-based representations in Pattern Recognition, using as a vantage point the 11th IAPR-TC15 Workshop GbR2017, dedicated to this topic. A survey of the paper presented at GbR2017 will give us the opportunity to reflect on the directions where the interest of the research community working on this subject is moving. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：3 / 9

页数：7

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