Editors:
- Fast-track conference proceedings
- State-of-the-art research
- Up-to-date results
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7626)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
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 2012.
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Table of contents (82 papers)
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Front Matter
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Pierre Devijver Award Lecture
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Structural, Syntactical, and Statistical Pattern Recognition
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Graph and Tree Methods
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Randomized Methods and Image Analysis
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Kernel Methods in Structural and Syntactical Pattern Recognition
About this book
Editors and Affiliations
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Department of Computer Science, University of Auckland, Auckland, New Zealand
Georgy Gimel’farb
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Department of Computer Science, University of York, York, UK
Edwin Hancock
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Institute of Media and Information Technology, Chiba University, Inage-ku, Japan
Atsushi Imiya
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Technische Universität/Fraunhofer IGD, Darmstadt, Germany
Arjan Kuijper
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Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan
Mineichi Kudo
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Graduate School of Engineering, Tohoku University, Sendai, Japan
Shinichiro Omachi
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Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK
Terry Windeatt
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C&C Innovation Research Laboratories, NEC Corporation, Ikoma-Shi, Japan
Keiji Yamada
Bibliographic Information
Book Title: Structural, Syntactic, and Statistical Pattern Recognition
Book Subtitle: Joint IAPR International Workshop, SSPR & SPR 2012, Hiroshima, Japan, November 7-9, 2012, Proceedings
Editors: Georgy Gimel’farb, Edwin Hancock, Atsushi Imiya, Arjan Kuijper, Mineichi Kudo, Shinichiro Omachi, Terry Windeatt, … Keiji Yamada
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-34166-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2012
Softcover ISBN: 978-3-642-34165-6Published: 22 September 2012
eBook ISBN: 978-3-642-34166-3Published: 22 October 2012
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 755
Number of Illustrations: 236 b/w illustrations
Topics: Artificial Intelligence, Pattern Recognition, Information Systems Applications (incl. Internet), Database Management, Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications