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＜電子ブック＞
Modeling, Analysis, and Visualization of Anisotropy / edited by Thomas Schultz, Evren Özarslan, Ingrid Hotz
(Mathematics and Visualization. ISSN:2197666X)

版	1st ed. 2017.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2017
本文言語	英語
大きさ	X, 407 p. 150 illus. in color : online resource
著者標目	Schultz, Thomas editor Özarslan, Evren editor Hotz, Ingrid editor SpringerLink (Online service)
件　名	LCSH:Algebras, Linear LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Information visualization LCSH:Computer vision FREE:Linear Algebra FREE:Computational Science and Engineering FREE:Data and Information Visualization FREE:Computer Vision
一般注記	Part I: Features and Visualization -- Part II: Image Processing and Analysis -- Part III: Diffusion Modeling and Microstructure -- Part IV: Tractography -- Part V: Machine Learning Approaches This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews. This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to MultivaluedData: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016. It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy HTTP:URL=https://doi.org/10.1007/978-3-319-61358-1

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