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Books > Computing & IT > Applications of computing > Artificial intelligence

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Applied Graph Theory in Computer Vision and Pattern Recognition (Paperback, Softcover reprint of hardcover 1st ed. 2007) Loot Price: R3,020

Discovery Miles 30 200

Repayment Terms: R283 pm x 12*

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Applied Graph Theory in Computer Vision and Pattern Recognition (Paperback, Softcover reprint of hardcover 1st ed. 2007):...

Applied Graph Theory in Computer Vision and Pattern Recognition (Paperback, Softcover reprint of hardcover 1st ed. 2007)

Abraham Kandel, Horst Bunke, Mark Last

Series: Studies in Computational Intelligence, 52

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Loot Price R3,020 Discovery Miles 30 200 | Repayment Terms: R283 pm x 12*

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This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 52
Release date:	November 2010
First published:	2007
Editors:	Abraham Kandel • Horst Bunke • Mark Last
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	266
Edition:	Softcover reprint of hardcover 1st ed. 2007
ISBN-13:	978-3-642-08764-6
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-642-08764-7
Barcode:	9783642087646