Energy Minimization Methods in Computer Vision and Pattern Recognition, Edwin R. Hancock; Marcello Pelillo
Автор: Chen C H Название: Handbook Of Pattern Recognition And Computer Vision (4Th Edition) ISBN: 9814273384 ISBN-13(EAN): 9789814273381 Издательство: World Scientific Publishing Рейтинг: Цена: 31046.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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 Рейтинг: Цена: 13969.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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 Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 7th International Conference EMMCVPR 2009 Bonn Germany August 2427 2009 Proceedings. .
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 Рейтинг: Цена: 10062.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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;
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 Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
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 Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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;
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.
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;
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;
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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