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Energy Minimization Methods in Computer Vision and Pattern Recognition, Xue-Cheng Tai; Egil Bae; Tony F. Chan; Marius Lysa


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Автор: Xue-Cheng Tai; Egil Bae; Tony F. Chan; Marius Lysa
Название:  Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 9783319146119
Издательство: Springer
Классификация:




ISBN-10: 3319146114
Обложка/Формат: Paperback
Страницы: 506
Вес: 0.72 кг.
Дата издания: 18.12.2014
Серия: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Язык: English
Размер: 234 x 156 x 26
Основная тема: Computer Science
Подзаголовок: 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. PDE and variational methods;


Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Edwin R. Hancock; Marcello Pelillo
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3540662944 ISBN-13(EAN): 9783540662945
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This volume covers the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, held in York in July 1999. It includes sections on minimum description length, Markov random fields, contours, search and consistent labelling, and tracking and video.

Minimization Methods for Non-Differentiable Functions

Автор: N.Z. Shor; K.C. Kiwiel; A. Ruszczynski
Название: Minimization Methods for Non-Differentiable Functions
ISBN: 3642821200 ISBN-13(EAN): 9783642821202
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Methods for minimizing functions with discontinuous gradients are gaining in importance and the ~xperts in the computational methods of mathematical programming tend to agree that progress in the development of algorithms for minimizing nonsmooth functions is the key to the con- struction of efficient techniques for solving large scale problems.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Anders Heyden; Fredrik Kahl; Carl Olsson; Magnus O
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3642403948 ISBN-13(EAN): 9783642403941
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This volume constitutes the refereed proceedings of the 9th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2013, held in Lund, Sweden, in August 2013. The papers are organized in topical sections on Medical Imaging;

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Marcello Pelillo; Edwin R. Hancock
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3540629092 ISBN-13(EAN): 9783540629092
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The papers in this volume are made up of the proceedings of the 1997 EMMCVPR. The volume is organized into sections which include information on contours and deformable models, Markov random fields, deterministic methods, and objective recognition.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Anand Rangarajan; M?rio A. T. Figueiredo; Josiane
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3540404988 ISBN-13(EAN): 9783540404989
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This volume consists of the 33 papers presented at the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2003)which was held at Instituto Superior T ecnico (IST), the - gineeringSchooloftheTechnicalUniversityofLisbon, PortugalduringJuly7-9, 2003.Thisworkshopwasthefourthinthe serieswhichstartedwithEMMCVPR 1997 held in Venice, Italy in May 1997 and continued with EMMCVPR 1999 held in York, UK in July 1999 and EMMCVPR 2001 held in Sophia-Antipolis, France in September 2001. Many problems in computer vision and pattern recognition (CVPR) are couchedintheframeworkofoptimization.Theminimizationofaglobalquantity, often referred to as the energy, forms the bulwark of most approachesin CVPR. Disparate approaches, such as discrete and probabilistic formulations on the one hand and continuous, deterministic strategies on the other, often have optimi- tion or energy minimization as a common theme. Instances of energy minimi- tion arise in Gibbs/Markov modeling, Bayesian decision theory, geometric and variational approaches and in areas in CVPR such as object recognition and - trieval, image segmentation, registration, reconstruction, classi?cation and data mining. The aim of the EMMCVPR workshops is to bring together researchers with interests in these disparate areas of CVPR but with an underlying commitment to some form of energy minimization. Although the subject is traditionally well representedinmajorinternationalconferencesonCVPR, thisworkshopprovides a forum wherein researchers can report their recent work and engage in more informal discussions.

Local Minimization, Variational Evolution and ?-Convergence

Автор: Andrea Braides
Название: Local Minimization, Variational Evolution and ?-Convergence
ISBN: 3319019813 ISBN-13(EAN): 9783319019819
Издательство: Springer
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Цена: 5309.00 р.
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Описание:

Introduction.- Global minimization.- Parameterized motion driven by global minimization.- Local minimization as a selection criterion.- Convergence of local minimizers.- Small-scale stability.- Minimizing movements.- Minimizing movements along a sequence of functionals.- Geometric minimizing movements.- Different time scales.- Stability theorems.- Index.

Chemistry of Waste Minimization

Автор: J.H. Clark
Название: Chemistry of Waste Minimization
ISBN: 940104273X ISBN-13(EAN): 9789401042734
Издательство: Springer
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Цена: 39182.00 р.
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Описание: Political pressure has translated into legislation requiring industry to reduce waste. There is an unprecedented opportunity for chemists to develop and apply new methods that result in waste reduction, and this book describes examples of new chemical methods used to reduce waste at source and to treat toxic waste.

Solid waste analysis and minimization

Автор: Franchetti, Matthew J.
Название: Solid waste analysis and minimization
ISBN: 007160524X ISBN-13(EAN): 9780071605243
Издательство: McGraw-Hill
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Цена: 26253.00 р.
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Описание: A hands-on manual for waste assessment, analysis, and minimization--featuring industry-based case studies

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Alan L. Yuille; Song-Chun Zhu; Daniel Cremers; Yon
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 354074195X ISBN-13(EAN): 9783540741954
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Constitutes the proceedings of the 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2007, held in Ezhou, China in August 2007. This work contains papers organized in topical sections on algorithms, applications, image parsing, image processing, shape and three-dimensional processing.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Daniel Cremers; Yuri Boykov; Andrew Blake; Frank R
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3642036406 ISBN-13(EAN): 9783642036408
Издательство: Springer
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Описание: 7th International Conference EMMCVPR 2009 Bonn Germany August 2427 2009 Proceedings. .

Logic Minimization Algorithms for VLSI Synthesis

Автор: Robert K. Brayton; Gary D. Hachtel; C. McMullen; A
Название: Logic Minimization Algorithms for VLSI Synthesis
ISBN: 1461297842 ISBN-13(EAN): 9781461297840
Издательство: Springer
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Цена: 22354.00 р.
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Описание: The fruits of this investigation were surprisingly abundant: it was apparent from an initial implementation of recursive logic minimiza- tion (ESPRESSO-I) that, if we merged our new results into a two-level minimization program, an important step forward in automatic logic synthesis could result.


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