Graph based representations in pattern recognition

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Last edited by MARC Bot
June 30, 2019 | History

Graph based representations in pattern recognition

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Graph-based representation of images is becoming a popular tool since it represents in a compact way the structure of a scene to be analyzed and allows for an easy manipulation of sub-parts or of relationships between parts. Therefore, it is widely used to control the different levels from segmentation to interpretation. The 14 papers in this volume are grouped in the following subject areas: hypergraphs, recognition and detection, matching, segmentation, implementation problems, representation.

Publish Date
Publisher
Springer
Language
English
Pages
145

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Previews available in: English

Edition Availability
Cover of: Graph Based Representations in Pattern Recognition
Graph Based Representations in Pattern Recognition
2012, Springer London, Limited
in English
Cover of: Graph based representations in pattern recognition
Graph based representations in pattern recognition
1998, Springer
in English
Cover of: Graph Based Representations in Pattern Recognition
Graph Based Representations in Pattern Recognition
1998, Island Press
in English

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Book Details


Edition Notes

Includes bibliographical references.
Based on a workshop held in Lyon, France, April 17-18, 1997.

Published in
Wien, New York
Series
Computing. Supplement,, 12, Computing (Springer-Verlag)., 12.
Other Titles
Graph based representations

Classifications

Dewey Decimal Class
006.4/2
Library of Congress
TA1650 .G73 1998, Q337.5TK7882.P3TA163

The Physical Object

Pagination
145 p. :
Number of pages
145

ID Numbers

Open Library
OL362841M
Internet Archive
graphbasedrepres00demk
ISBN 10
3211831215
LCCN
98023058
OCLC/WorldCat
39093631
Goodreads
4222225

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June 30, 2019 Created by MARC Bot import existing book