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Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 - September 2, 2011, Proceedings (Paperback, Edition.) Loot Price: R1,618
Discovery Miles 16 180
Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 - September 2, 2011, Proceedings (Paperback,...

Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 - September 2, 2011, Proceedings (Paperback, Edition.)

Rudolf Mester, Michael Felsberg

Series: Lecture Notes in Computer Science, 6835

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Loot Price R1,618 Discovery Miles 16 180 | Repayment Terms: R152 pm x 12*

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This book constitutes the refereed proceedings of the 33rd Symposium of the German Association for Pattern Recognition, DAGM 2011, held in Frankfurt/Main, Germany, in August/September 2011. The 20 revised full papers and 22 revised poster papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on object recognition, adverse vision conditions challenge, shape and matching, segmentation and early vision, robot vision, machine learning, and motion. The volume also includes the young researcher's forum, a section where a carefully jury-selected ensemble of young researchers present their Master thesis work.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Computer Science, 6835
Release date: August 2011
First published: 2011
Editors: Rudolf Mester • Michael Felsberg
Dimensions: 235 x 155 x 25mm (L x W x T)
Format: Paperback
Pages: 473
Edition: Edition.
ISBN-13: 978-3-642-23122-3
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 3-642-23122-5
Barcode: 9783642231223

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