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Energy Minimization Methods in Computer Vision and Pattern Recognition [[electronic resource] ] : 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011, Proceedings / / edited by Yuri Boykov, Fredrik Kahl, Victor Lempitsky, Frank R. Schmidt



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Titolo: Energy Minimization Methods in Computer Vision and Pattern Recognition [[electronic resource] ] : 8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011, Proceedings / / edited by Yuri Boykov, Fredrik Kahl, Victor Lempitsky, Frank R. Schmidt Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011
Edizione: 1st ed. 2011.
Descrizione fisica: 1 online resource (450 p. 158 illus., 120 illus. in color.)
Disciplina: 006.4
Soggetto topico: Pattern recognition
Computer software—Reusability
Optical data processing
Algorithms
Data mining
Pattern Recognition
Performance and Reliability
Image Processing and Computer Vision
Algorithm Analysis and Problem Complexity
Computer Imaging, Vision, Pattern Recognition and Graphics
Data Mining and Knowledge Discovery
Persona (resp. second.): BoykovYuri
KahlFredrik
LempitskyVictor
SchmidtFrank R
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: A distributed mincut/maxflow algorithm combining path augmentation and push-relabel / Alexander Shekhovtsov, Václav Hlaváč -- Minimizing count-based high order terms in Markov random fields / Thomas Schoenemann.
Sommario/riassunto: 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.
Titolo autorizzato: Energy Minimization Methods in Computer Vision and Pattern Recognition  Visualizza cluster
ISBN: 3-642-23094-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465513003316
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Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 6819