Graph-Based Representations in Pattern Recognition - 11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 16-18, 2017, Proceedings

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.

List of contents

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.

Summary

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.

Product details

• Assisted by: Pasquale Foggia (Editor), Cheng-Li Liu (Editor), Cheng-Lin Liu (Editor), Mario Vento (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 30.06.2017
• EAN: 9783319589602
• ISBN: 978-3-31-958960-2
• No. of pages: 289
• Dimensions: 152 mm x 17 mm x 238 mm
• Weight: 474 g
• Illustrations: XV, 289 p. 100 illus., 60 illus. in color.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; C, Algorithmen und Datenstrukturen, Data Science, Algorithms, Datenbanken, Grafikprogrammierung, Diskrete Mathematik, Maschinelles Sehen, Bildverstehen, Mathematik für Informatiker, computer science, Computer Vision, Image Processing and Computer Vision, Computer Graphics, pattern recognition, Discrete Mathematics in Computer Science, Discrete Mathematics, Algorithms & data structures, Automated Pattern Recognition, Computer science—Mathematics, Maths for computer scientists, Optical data processing, Algorithm Analysis and Problem Complexity, Image processing, Data structures (Computer science), Data Structures, Graphics programming