BanniereGbR2019

Home

IAPR International workshop on

Graph-Based Representation

in Pattern Recognition

 

The booklet is available here with venue & practical Information.

 The proceedings are made freely available here by Srpinger.

GbR 2019 Program at glance

gbrprogram

 

GbR is a biennial workshop organized by the 15th Technical Committee of IAPR, aimed at encouraging research works in Pattern Recognition and Image Analysis within the graph theory framework. The 12th edition will be held in Tours (France), from June 19 to June 21, 2019.

The proceedings are published by Springer in the Lecture Notes on Computer Science (LNCS) series. 

 Keynote speakers: With the presence of internationally distinguished keynote speakers : C. Solnon and Marco Gori  

The social event is a river cruise on board of the restaurant boat LA BELANDRE, come and discover Le Château de Chenonceau in another way. 

Restaurant sur la Cher - la Bélandre

This workshop series traditionally provides a forum for presenting and discussing research results and applications in the intersection of pattern recognition, image analysis on one side and graph theory on the other side. In addition, given the avenue of new structural/graphical models and structural criteria for solving computer vision problems, GbR2019 organization encourages researchers in this more general context to actively participate in the workshop. Furthermore, the application of graphs to pattern recognition problems in other fields like computational topology, graphic recognition systems and bioinformatics is also highly welcome at the workshop.

Proceedings will be submitted for indexation by:  DBLP,  SCOPUS and Semantic Scholar. 

Follow us on Twitter @Gbr2019_Tours !

 

   

News: The program booklet is online here 

News: Free access to the proceedings here 

------------

 Call for papers here.

 Logo_Apside_TOP_2.png

 IAPRLogo

iapr tc15

 

Springer_LogoSmall_1.png

LNCS_LogoSmall.png

 

Résultat de recherche d'images pour

logo lifat

icvllogo

 

Online user: 2