Efficient Algorithms for Global Optimization Methods in Computer Vision: International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers

Author:   Andrés Bruhn ,  Thomas Pock ,  Xue-Cheng Tai
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2014 ed.
Volume:   8293
ISBN:  

9783642547737


Pages:   175
Publication Date:   21 May 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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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


Overview

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.

Full Product Details

Author:   Andrés Bruhn ,  Thomas Pock ,  Xue-Cheng Tai
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2014 ed.
Volume:   8293
Dimensions:   Width: 15.50cm , Height: 1.00cm , Length: 23.50cm
Weight:   2.876kg
ISBN:  

9783642547737


ISBN 10:   3642547737
Pages:   175
Publication Date:   21 May 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Mathematical Optimization.- Modeling.- Nonconvex Optimization.- Shape Representations.

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NOV RG 20252

 

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