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Efficient Algorithms for Global Optimization Methods in Computer Vision

International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers

Language EnglishEnglish
Book Paperback
Book Efficient Algorithms for Global Optimization Methods in Computer Vision Andr
Libristo code: 02530686
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, April 2014
This book constitutes the thoroughly refereed post-conference proceedings of the International Dagst... Full description
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41.41 €
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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.

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About the book

Full name Efficient Algorithms for Global Optimization Methods in Computer Vision
Author Andr, Thomas Pock, Xue-Cheng Tai
Language English
Binding Book - Paperback
Date of issue 2014
Number of pages 175
EAN 9783642547737
ISBN 3642547737
Libristo code 02530686
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 2876
Dimensions 155 x 235 x 239

Categories

Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer science > Mathematical theory of computation
Computing & Information Technology > Computer science > Image processing
Computing & Information Technology > Graphical & digital media applications
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