Trends in graph-based representations for Pattern Recognition

•Analysis of recent trends of graph-based techniques for Pattern Recognition.•Based on the 11th IAPR-TC15 Workshop on Graph-based Representations for PR (GbR2017).•Most popular techniques are metrics on graphs and inexact graph matching. In this paper we try to examine recent trends on the use of gr...

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Bibliographic Details
Published inPattern recognition letters Vol. 134; pp. 3 - 9
Main Authors Brun, Luc, Foggia, Pasquale, Vento, Mario
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.06.2020
Elsevier Science Ltd
Elsevier
Subjects
Computer Science
Graph edit distance
Graph kernels
Graph matching
Graph-based representations
Graphical representations
Image Processing
Pattern recognition
Trends
Graph-based representations
Graph edit distance
41A10
Graph kernels
65D05
65D17
41A05
Graph matching
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Summary:•Analysis of recent trends of graph-based techniques for Pattern Recognition.•Based on the 11th IAPR-TC15 Workshop on Graph-based Representations for PR (GbR2017).•Most popular techniques are metrics on graphs and inexact graph matching. 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.
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ISSN:0167-8655
1872-7344
DOI:10.1016/j.patrec.2018.03.016