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Energy Minimization Methods in Computer Vision and Pattern Recognition - International Workshop EMMCVPR'97, Venice, Italy, May 21-23, 1997, Proceedings (Paperback, 1997 ed.) Loot Price: R1,774

Discovery Miles 17 740

Repayment Terms: R166 pm x 12*

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Energy Minimization Methods in Computer Vision and Pattern Recognition - International Workshop EMMCVPR'97, Venice, Italy,...

Energy Minimization Methods in Computer Vision and Pattern Recognition - International Workshop EMMCVPR'97, Venice, Italy, May 21-23, 1997, Proceedings (Paperback, 1997 ed.)

Marcello Pelillo, Edwin R. Hancock

Series: Lecture Notes in Computer Science, 1223

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Loot Price R1,774 Discovery Miles 17 740 | Repayment Terms: R166 pm x 12*

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This book constitutes the refereed proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR'97, held in Venice, Italy, in May 1997.
The book presents 29 revised full papers selected from a total of 62 submissions. Also included are four full invited papers and a keynote paper by leading researchers. The volume is organized in sections on contours and deformable models, Markov random fields, deterministic methods, object recognition, evolutionary search, structural models, and applications. The volume is the first comprehensive documentation of the application of energy minimization techniques in the areas of compiler vision and pattern recognition.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Computer Science, 1223
Release date:	2001
First published:	1997
Editors:	Marcello Pelillo • Edwin R. Hancock
Dimensions:	235 x 155 x 29mm (L x W x T)
Format:	Paperback
Pages:	556
Edition:	1997 ed.
ISBN-13:	978-3-540-62909-2
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	3-540-62909-2
Barcode:	9783540629092