Résumé de la base de données bibliographique
@InProceedings{brun-01-1,
author = {Luc {B}run and Myriam Mokhtari},
title = {Graph Based Representations in Different Application Domains},
booktitle = {$3^{rd}$ IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition},
pages = {115-124},
year = 2001,
theme = {topologie},
editor = {{J}olion, Jean Michel and Walter Kropatsch and Mario Vento},
address = {Ischia Italy},
month = {May},
organization = {IAPR-TC15},
publisher = {CUEN},
theme = {hierarchical},
url = {slides:=https://brunl01.users.greyc.fr/ARTICLES/slides_gbr2001_2.ppt},
abstract = " The design of a graph based application is often
dependent of the data structure used to encode the
graph. Several papers submitted to GbR'2001 face to
close problems with different graph data
structures. Some other papers use a same data
structure but different strategies to solve a
similar problem. The aim of this counter-paper is
to point out possible interactions between these
methods. To this end, we will review some graph
data structures often used in image analysis and
illustrate each data structure by some
applications.",
note = "Invited conference",
}