Editors:
- High quality selected papers
- Unique visibility
- State of the art research
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6388)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): ICPR: International Conference on Pattern Recognition
Conference proceedings info: ICPR 2010.
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Table of contents (31 papers)
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Front Matter
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BiHTR – Bi-modal Handwritten Text Recognition
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CAMCOM 2010 – Verification of Video Source Camera Competition
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GEPR – Graph Embedding for Pattern Recognition
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ImageCLEF@ICPR – Information Fusion Task
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ImageCLEF@ICPR – Visual Concept Detection Task
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ImageCLEF@ICPR – Robot Vision Task
About this book
Editors and Affiliations
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Electrical and Electronics Engineering Department, Çırağan Caddesi, Bahçeşehir University, Beşiktaş, Turkey
Devrim Ünay
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Electrical and Electronics Engineering Department, Maslak, Istanbul Technical University, Sariyer, Turkey
Zehra Çataltepe
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Department of Computer Engineering, Bilkent University, Ankara, Turkey
Selim Aksoy
Bibliographic Information
Book Title: Recognizing Patterns in Signals, Speech, Images, and Videos
Book Subtitle: ICPR 2010 Contents, Istanbul, Turkey, August 23-26, 2010, Contest Reports
Editors: Devrim Ünay, Zehra Çataltepe, Selim Aksoy
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-17711-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Berlin Heidelberg 2010
Softcover ISBN: 978-3-642-17710-1Published: 04 January 2011
eBook ISBN: 978-3-642-17711-8Published: 13 December 2010
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 314
Number of Illustrations: 28 b/w illustrations, 80 illustrations in colour
Topics: Pattern Recognition, Computer Imaging, Vision, Pattern Recognition and Graphics, Artificial Intelligence, Information Storage and Retrieval, Data Mining and Knowledge Discovery, Image Processing and Computer Vision