Editors:
Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2396)
Conference series link(s): S+SSPR: Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR)
Conference proceedings info: SSPR /SPR 2002.
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Table of contents (90 papers)
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Front Matter
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SSPR
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Graphs, Strings and Grammars
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Graphs, Strings and Grammars
About this book
Keywords
- Classification
- Document Analysis
- Feature Extraction
- Graphical Pattern Recognition
- Object Recognition
- Scene Analysis
- Statistical Pattern Recognition
- Syntactic Pattern Recognition
- calculus
- cognition
- complexity
- genetic algorithms
- image analysis
- machine learning
- modeling
Editors and Affiliations
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Dept. of Computing Science, University of Alberta, Edmonton, Canada
Terry Caelli
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School of Computer Science and Engineering, University of New South Wales, Sydney, Australia
Adnan Amin
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Dept. of Applied Physics Pattern Recognition Group, Delft University of Technology, Delft, The Netherlands
Robert P. W. Duin, Dick Ridder
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Dept. of Systems Design Engineering, University of Waterloo, Waterloo, Canada
Mohamed Kamel
Bibliographic Information
Book Title: Structural, Syntactic, and Statistical Pattern Recognition
Book Subtitle: Joint IAPR International Workshops SSPR 2002 and SPR 2002, Windsor, Ontario, Canada, August 6-9, 2002. Proceedings
Editors: Terry Caelli, Adnan Amin, Robert P. W. Duin, Dick Ridder, Mohamed Kamel
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-70659-3
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2002
Softcover ISBN: 978-3-540-44011-6Published: 24 July 2002
eBook ISBN: 978-3-540-70659-5Published: 02 August 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXII, 866
Topics: Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence, Probability and Statistics in Computer Science
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Published in cooperation with
http://www.iapr.org/