Graph Embedding for Pattern Recognition

This is the report of the first contest on Graph Embedding for Pattern Recognition, hosted at the ICPR2010 conference in Istanbul. The aim is to define an effective algorithm to represent graph-based structures in terms of vector spaces, to enable the use of the methodologies and tools developed in...

Full description

Saved in:
Bibliographic Details
Published inRecognizing Patterns in Signals, Speech, Images and Videos pp. 75 - 82
Main Authors Foggia, Pasquale, Vento, Mario
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2010
SeriesLecture Notes in Computer Science
Subjects
Contest Result
Graph Embed
Graph Embedding
Quantitative Performance Measure
Statistical Pattern Recognition
Online AccessGet full text
ISBN9783642177101
3642177107
ISSN0302-9743
1611-3349
DOI10.1007/978-3-642-17711-8_8

Cover

More Information
Summary:This is the report of the first contest on Graph Embedding for Pattern Recognition, hosted at the ICPR2010 conference in Istanbul. The aim is to define an effective algorithm to represent graph-based structures in terms of vector spaces, to enable the use of the methodologies and tools developed in the statistical Pattern Recognition field. For this contest, a large dataset of graphs derived from three available image databases has been constructed, and a quantitative performance measure has been defined. Using this measure, the algorithms submitted by the contest participants have been experimentally evaluated.
ISBN:9783642177101
3642177107
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-17711-8_8