Graphs in pattern recognition: successes, shortcomings and new perspectives

Graphs in pattern recognition have been studied since the late seventies with alternating events of successes and failures. Far from wanting to propose a unique survey on the subject, we aim to present the areas in which graphs have been shown to be effective and to illustrate the problems still ope...

Full description

Saved in:
Bibliographic Details
Published inJournal of electronic imaging Vol. 32; no. 2
Main Author Conte, Donatello
Format Journal Article
LanguageEnglish
Published SPIE and IS&T 2023
Subjects
Computer Science
Computer Vision and Pattern Recognition
Graph Topology
Graph Embedding
Graphs in Pattern Recognition
Graph matching
Graph Neural Networks
Online AccessGet full text

Cover

More Information
Summary:Graphs in pattern recognition have been studied since the late seventies with alternating events of successes and failures. Far from wanting to propose a unique survey on the subject, we aim to present the areas in which graphs have been shown to be effective and to illustrate the problems still open in this research domain, with a focus on recent developments moving in the direction of deep learning. This work intends to arouse the interest of neophytes to this interesting domain that is the representation of the world through graphs
ISSN:1017-9909
1560-229X
DOI:10.1117/1.JEI.32.2.020701