Graph-Based Representations in Pattern Recognition

11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 16-18, 2017, Proceedings
1. Auflage 2017
ISBN: 978-3-319-58960-2
Verlag: Springer International Publishing

Buch, Englisch, Band 10310, 289 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 4686 g

Reihe: Lecture Notes in Computer Science

This book constitutes the refereed proceedings of the 11th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern Recognition, GbRPR 2017, held in Anacapri, Italy, in May 2017. The 25 full papers and 2 abstracts of invited papers presented in this volume were carefully reviewed and selected from 31 submissions. The papers discuss research results and applications in the intersection of pattern recognition, image analysis, graph theory, and also the application of graphs to pattern recognition problems in other fields like computational topology, graphic recognition systems and bioinformatics.

Zielgruppe

Research

Autoren/Hrsg.

Foggia, Pasquale

Vento, Mario

Liu, Cheng-Lin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

Image and shape analysis.- Learning and graph kernels.- Graph applications.- Graph matching.- Large graphs and social networks.- Minging and clustering.- Graph edit distance.- Graphs and information theory.