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Record Nr. |
UNISA996465513003316 |
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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 |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
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ISBN |
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Edizione |
[1st ed. 2011.] |
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Descrizione fisica |
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1 online resource (450 p. 158 illus., 120 illus. in color.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 6819 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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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