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Energy Minimization Methods in Computer Vision and Pattern Recognition

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Energy Minimization Methods in Computer Vision and Pattern Recognition Daniel Cremers
Libristo kod: 01650301
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, kolovoz 2009
This book constitutes the refereed proceedings of the 7th International Conference on Energy Minimiz... Cijeli opis
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This book constitutes the refereed proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2009, held in Bonn, Germany in August 2009.§The 18 revised full papers, 18 poster papers and 3 keynote lectures presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on discrete optimization and Markov random fields, partial differential equations, segmentation and tracking, shape optimization and registration, inpainting and image denoising, color and texture and statistics and learning.

Informacije o knjizi

Puni naziv Energy Minimization Methods in Computer Vision and Pattern Recognition
Autor Daniel Cremers, Yuri Boykov, Andrew Blake, Frank R. Schmidt
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2009
Broj stranica 494
EAN 9783642036408
ISBN 3642036406
Libristo kod 01650301
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Težina 771
Dimenzije 155 x 235 x 28

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
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