Handbook of Mixed Membership Models and Their Applications, Airoldi, Edoardo M.

Автор: Paragios Nikos, Chen Yunmei, Faugeras Olivier
Название: Handbook of Mathematical Models in Computer Vision
ISBN: 0387263713 ISBN-13(EAN): 9780387263717
Издательство: Springer
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Цена: 121110.00 T
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Описание: This comprehensive volume is an essential reference tool for professional and academic researchers in the filed of computer vision, image processing, and applied mathematics.  Continuing rapid advances in image processing have been enhanced by the theoretical efforts of mathematicians and engineers. This marriage of mathematics and computer vision - computational vision - has resulted in a discrete approach to image processing that is more reliable when leveraging in practical tasks. This comprehensive volume provides a detailed discourse on the mathematical models used in computational vision from leading educators and active research experts in this field. Topical areas include: image reconstruction, segmentation and object extraction, shape modeling and registration, motion analysis and tracking, and 3D from images, geometry and reconstruction. The book also includes a study of applications in medical image analysis.Handbook of Mathematical Models in Computer Vision provides a graduate-level treatment of this subject as well as serving as a complete reference work for professionals.

Автор: Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg
Название: Handbook of Mixed Membership Models and Their Applications
ISBN: 0367330849 ISBN-13(EAN): 9780367330842
Издательство: Taylor&Francis
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Цена: 73490.00 T
Наличие на складе: Невозможна поставка.
Описание: This handbook shows how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology.

Автор: Grace Y. Yi, Aurore Delaigle, Paul Gustafson
Название: Handbook of Measurement Error Models
ISBN: 1138106402 ISBN-13(EAN): 9781138106406
Издательство: Taylor&Francis
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Цена: 219470.00 T
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Описание: Reference text for statistical methods and applications for measurement error models for: researchers who work with error-contaminated data, graduate students from statistics and biostatistics, analysts in multiple fields, including medical research, biosciences, nutritional studies, epidemiological studies and environmental studies.

Автор: Jiang Jiming, Nguyen Thuan
Название: Linear and Generalized Linear Mixed Models and Their Applications
ISBN: 1071612840 ISBN-13(EAN): 9781071612842
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. Furthermore, it includes recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models.

Автор: Jiang Jiming, Nguyen Thuan
Название: Linear and Generalized Linear Mixed Models and Their Applications
ISBN: 1071612816 ISBN-13(EAN): 9781071612811
Издательство: Springer
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. Furthermore, it includes recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models.

Автор: Leung, Joseph Y-T.
Название: Handbook of Scheduling
ISBN: 1584883979 ISBN-13(EAN): 9781584883975
Издательство: Taylor&Francis
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Цена: 219470.00 T
Наличие на складе: Нет в наличии.

Автор: Nikos Paragios; Yunmei Chen; Olivier D. Faugeras
Название: Handbook of Mathematical Models in Computer Vision
ISBN: 1441938850 ISBN-13(EAN): 9781441938855
Издательство: Springer
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Цена: 121110.00 T
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Описание: Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro- ducing human visual abilities.

Автор: Maathuis, Marloes
Название: Handbook of Graphical Models
ISBN: 0367732602 ISBN-13(EAN): 9780367732608
Издательство: Taylor&Francis
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Цена: 63280.00 T
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Автор: Chen
Название: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging
ISBN: 3030986608 ISBN-13(EAN): 9783030986605
Издательство: Springer
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Цена: 791930.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, and nonlinear optimization, and provides the basis of high-resolution imaging through geometry and variational models. Besides, optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning. No other framework can provide comparable accuracy and precision to imaging and vision. Written by leading researchers in imaging and vision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new and emerging challenges. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. This work can greatly benefit graduate students, researchers, and practitioners in imaging and vision; applied mathematicians; medical imagers; engineers; and computer scientists.