1.

Record Nr.

UNISA996466206603316

Titolo

Graph-Based Representations in Pattern Recognition [[electronic resource] ] : 11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 16–18, 2017, Proceedings / / edited by Pasquale Foggia, Cheng-Lin Liu, Mario Vento

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017

ISBN

3-319-58961-X

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (XV, 289 p. 70 illus.)

Collana

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 10310

Disciplina

006.4

Soggetti

Pattern recognition

Optical data processing

Computer graphics

Computer science—Mathematics

Data structures (Computer science)

Algorithms

Pattern Recognition

Image Processing and Computer Vision

Computer Graphics

Discrete Mathematics in Computer Science

Data Structures

Algorithm Analysis and Problem Complexity

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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.

Sommario/riassunto

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.