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Energy Minimization Methods in Computer Vision and Pattern Recognition, Marcello Pelillo; Edwin R. Hancock


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Автор: Marcello Pelillo; Edwin R. Hancock
Название:  Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 9783540629092
Издательство: Springer
Классификация:

ISBN-10: 3540629092
Обложка/Формат: Paperback
Страницы: 556
Вес: 0.78 кг.
Дата издания: 29.04.1997
Серия: Lecture Notes in Computer Science
Язык: English
Размер: 234 x 156 x 29
Основная тема: Computer Science
Подзаголовок: International Workshop EMMCVPR'97, Venice, Italy, May 21-23, 1997, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
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: 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;

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Автор: Eduardo Bayro-Corrochano; Edwin Hancock
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3319125672 ISBN-13(EAN): 9783319125671
Издательство: Springer
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Цена: 15653.00 р.
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Описание: This book constitutes the refereed proceedings of the 19th Iberoamerican Congress on Pattern Recognition, CIARP 2014, held in Puerto Vallarta, Jalisco, Mexico, in November 2014. The papers are organized in topical sections on image coding, processing and analysis; pattern recognition and machine learning; neural networks for pattern recognition;

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Автор: Alvaro Pardo; Josef Kittler
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3319257501 ISBN-13(EAN): 9783319257501
Издательство: Springer
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Цена: 12298.00 р.
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Описание: This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo, Uruguay, in November 2015. The 95 papers presented were carefully reviewed and selected from 185 submissions. The papers are organized in topical sections on applications on pattern recognition;

Matrix Methods in Data Mining and Pattern Recognition

Автор: Lars Eld?n
Название: Matrix Methods in Data Mining and Pattern Recognition
ISBN: 0898716268 ISBN-13(EAN): 9780898716269
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.

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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Цена: 13974.00 р.
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Описание: 7th International Conference EMMCVPR 2009 Bonn Germany August 2427 2009 Proceedings. .

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Xue-Cheng Tai; Egil Bae; Tony F. Chan; Marius Lysa
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3319146114 ISBN-13(EAN): 9783319146119
Издательство: Springer
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Цена: 10062.00 р.
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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.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Автор: Eduardo Bayro Corrochano; Jan-Olof Eklundh
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3642102670 ISBN-13(EAN): 9783642102677
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009, C- gresoIberoAmericanodeReconocimientodePatrones)formedthelatestofanow longseriesofsuccessfulmeetingsarrangedbytherapidlygrowingIberoamerican pattern recognition community.

Handbook Of Pattern Recognition And Computer Vision (4Th Edition)

Автор: Chen C H
Название: Handbook Of Pattern Recognition And Computer Vision (4Th Edition)
ISBN: 9814273384 ISBN-13(EAN): 9789814273381
Издательство: World Scientific Publishing
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Цена: 31046.00 р.
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Описание: Both pattern recognition and computer vision have experienced progress over the years. This book describes various advances on pattern recognition and computer vision along with their many applications.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Автор: C?sar Beltr?n-Casta??n; Ingela Nystr?m; Fazel Fami
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3319522760 ISBN-13(EAN): 9783319522760
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book constitutes the refereed post-conference proceedings of the 21st Iberoamerican Congress on Pattern Recognition, CIARP 2016, held in Lima, Peru, in November 2016. The 69 papers presented were carefully reviewed and selected from 131 submissions.

Information Theory in Computer Vision and Pattern Recognition

Автор: Alan L. Yuille; Francisco Escolano Ruiz; Pablo Sua
Название: Information Theory in Computer Vision and Pattern Recognition
ISBN: 1447156935 ISBN-13(EAN): 9781447156932
Издательство: Springer
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Цена: 13969.00 р.
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Описание: This book provides comprehensive coverage of information theory elements implied in modern CVPR algorithms. It introduces information theory to researchers in CVPR, and additionally introduces interesting CVPR problems to information theorists.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Автор: Jos? Ruiz-Shulcloper; Gabriella Sanniti di Baja
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 364241821X ISBN-13(EAN): 9783642418211
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.


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