Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Автор: Breuss Название: Innovations for Shape Analysis ISBN: 3642341403 ISBN-13(EAN): 9783642341403 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Поставка под заказ.
Описание: This book surveys recent advances in image processing, and challenges that lie ahead. Coverage includes mathematical morphology, skeletonization, statistical shape modeling, continuous-scale shape models such as PDEs and theory of discrete shape descriptors.
Автор: Bartle Название: Introduction to Real Analysis, 4th Edition ISBN: 0471433314 ISBN-13(EAN): 9780471433316 Издательство: Wiley Рейтинг: Цена: 32781.00 р. Наличие на складе: Поставка под заказ.
Описание: * Helps one develop the ability to think deductively, analyse mathematical situations and extend ideas to a new context. * Maintains the same spirit and user-friendly approach with addition examples and expansion on Logical Operations and Set Theory.
Автор: Halina Kwasnicka; Lakhmi C. Jain Название: Innovations in Intelligent Image Analysis ISBN: 3642267203 ISBN-13(EAN): 9783642267208 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book sets out an array of new and important research in the field of image processing and analysis. Covering a range of topics, the chapters include a number of case studies as well as some of the most state-of-the-art image analysis methodologies.
Автор: Reuter Название: Spectral and Shape Analysis in Medical Imaging ISBN: 3319512366 ISBN-13(EAN): 9783319512365 Издательство: Springer Рейтинг: Цена: 5870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed post-conference proceedings of the First International Workshop on Spectral and Shape Analysis in Medical Imaging, SeSAMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.The 10 submitted full papers presented in this volume were carefully reviewed.The papers reflect the following topics: spectral methods; longitudinal methods; and shape methods.
Автор: Srivastava Название: Functional and Shape Data Analysis ISBN: 149394018X ISBN-13(EAN): 9781493940189 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered—from introductory theory to algorithmic implementations and some statistical case studies—is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines; Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling future scientific challenges.Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves—in one, two, and higher dimensions—both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability. It is recommended that the reader have a background in calculus, linear algebra, numerical analysis, and computation.
Shapes, either from the natural world or man-made, are more and more digitized for visualization or measurement purposes, among others. This process results in general in 3D surface meshes, composed of collections of planar polygons. Such meshes nowadays are the most common discrete representation of the surface of a virtual shape. These 3D surface meshes are automatically, or sometimes interactively, examined, in order their overall structure or some details to be understood or evaluated. This can be done by extracting relevant geometric or topological features. Such shape characteristics can simplify the way the object is looked at, can help recognition, and can describe and categorize it according to specific criteria.
This book deals with feature definition and computation on a 3D surface mesh, and their use for shape analysis. Recent methods are described to extract feature lines having a meaning related not only to geometry but to topology as well. Differential estimators like discrete principal curvatures are detailed as they play a critical role for the computation of salient structures. Several applications are developed, and each of them needs specific adjustments to generic approaches. These applications are related to geology, planetary science, paleo-anthropology, astrophysics, medicine, and forestry.
Автор: Shuo Li; Jo?o Manuel R. S. Tavares Название: Shape Analysis in Medical Image Analysis ISBN: 3319038125 ISBN-13(EAN): 9783319038124 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A landmark publication in its scope, this book features contributions by more than a dozen internationally renowned experts, addressing key topics in shape analysis in medical imaging, such as image segmentation, modeling, and classification techniques.
Автор: Emmanuel Laporte; Patrick Le Tallec Название: Numerical Methods in Sensitivity Analysis and Shape Optimization ISBN: 1461265983 ISBN-13(EAN): 9781461265986 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Numerical Methods in Sensitivity Analysis and Shape Optimization will be of interest to graduate students involved in mathematical modeling and simulation, as well as engineers and researchers in applied mathematics looking for an up-to-date introduction to optimization techniques, sensitivity analysis, and optimal design.
Описание: This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests.
Автор: Shuo Li; Jo?o Manuel R. S. Tavares Название: Shape Analysis in Medical Image Analysis ISBN: 3319375210 ISBN-13(EAN): 9783319375212 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A landmark publication in its scope, this book features contributions by more than a dozen internationally renowned experts, addressing key topics in shape analysis in medical imaging, such as image segmentation, modeling, and classification techniques.
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