Graph-Based Representations in Pattern Recognition and Computational Intelligence

被引：0

作者：

Marfil, R. ^{[1
]}

Escolano, F. ^{[2
]}

Bandera, A. ^{[1
]}

机构：

[1] Univ Malaga, Grp ISIS, Dpto Tecnol Elect, E-29071 Malaga, Spain

[2] Univ Alicante, Robot Vis Grp, Dpto Ciencia Computac Inteligenci Artificial, Alicante, Spain

来源：

BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1 | 2009年 / 5517卷

关键词：

EDIT-DISTANCE; LOCALIZATION; ALGORITHMS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Graph theory, which used to,be a purely academic discipline, is now increasingly becoming-an essential part in different; areas of research. This paper briefly present new perspectives in graph-based representations applied in emerging fields, Such as computer vision and image processing, robotics, network analysis, web mining, chemistry, bioinformatics, sensor networks, biomedical engineering or evolutionary computation.

引用

页码：399 / +

页数：3

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