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Efficient Algorithms for Global Optimization Methods in Computer Vision [[electronic resource] ] : International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers / / edited by Andrés Bruhn, Thomas Pock, Xue-Cheng Tai



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Titolo: Efficient Algorithms for Global Optimization Methods in Computer Vision [[electronic resource] ] : International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers / / edited by Andrés Bruhn, Thomas Pock, Xue-Cheng Tai Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (VII, 175 p. 128 illus.)
Disciplina: 006.37
Soggetto topico: Optical data processing
Algorithms
Numerical analysis
Computer science
Image Processing and Computer Vision
Algorithm Analysis and Problem Complexity
Numeric Computing
Computer Science, general
Persona (resp. second.): BruhnAndrés
PockThomas
TaiXue-Cheng
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: Mathematical Optimization -- Modeling -- Nonconvex Optimization -- Shape Representations.
Sommario/riassunto:   This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dagstuhl Castle, Germany, in November 2011. The 8 revised full papers presented were carefully reviewed and selected by 12 lectures given at the seminar. The seminar focused on the entire algorithmic development pipeline for global optimization problems in computer vision: modelling, mathematical analysis, numerical solvers and parallelization. In particular, the goal of the seminar was to bring together researchers from all four fields to analyze and discuss the connections between the different stages of the algorithmic design pipeline.
Titolo autorizzato: Efficient Algorithms for Global Optimization Methods in Computer Vision  Visualizza cluster
ISBN: 3-642-54774-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996203614703316
Lo trovi qui: Univ. di Salerno
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Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 8293