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Energy Minimization Methods in Computer Vision and Pattern Recognition

8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011, Proceedings

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Energy Minimization Methods in Computer Vision and Pattern Recognition Yuri Boykov
Libristo kod: 01658589
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, srpanj 2011
This book constitutes the refereed proceedings of the 8th International Workshop on Energy Minimizat... Cijeli opis
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This book constitutes the refereed proceedings of the 8th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2011, held in St. Petersburg, Russia in July , 2011. The book presents 30 revised full papers selected from a total of 52 submissions. The book is divided in sections on discrete and continuous optimization, segmentation, motion and video, learning and shape analysis.

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Informacije o knjizi

Puni naziv Energy Minimization Methods in Computer Vision and Pattern Recognition
Autor Yuri Boykov, Fredrik Kahl, Victor Lempitsky, Frank R. Schmidt
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2011
Broj stranica 450
EAN 9783642230936
ISBN 3642230938
Libristo kod 01658589
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Težina 616
Dimenzije 168 x 240 x 23

Kategorija

Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Computing & Information Technology > Computer hardware > Maintenance & repairs
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Computer science > Systems analysis & design
Computing & Information Technology > Computer science > Image processing
Computing & Information Technology > Graphical & digital media applications
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