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[null,"1.","Record Nr.",null,"UNINA9910254286103321"]
[null,null,"Titolo",null,"Modeling, Analysis, and Visualization of Anisotropy / / edited by Thomas Schultz, Evren Özarslan, Ingrid Hotz"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017"]
[null,null,"ISBN",null,"3-319-61358-8"]
[null,null,"Edizione",null,"[1st ed. 2017.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 407 p. 150 illus. in color.)"]
[null,null,"Collana",null,"Mathematics and Visualization, , 2197-666X"]
[null,null,"Disciplina",null,"530"]
[null,null,"Soggetti",null,"Algebras, Linear"]
[{"$nulls":4},"Mathematics - Data processing"]
[{"$nulls":4},"Information visualization"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Linear Algebra"]
[{"$nulls":4},"Computational Science and Engineering"]
[{"$nulls":4},"Data and Information Visualization"]
[{"$nulls":4},"Computer Vision"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Part I: Features and Visualization -- Part II: Image Processing and Analysis -- Part III: Diffusion Modeling and Microstructure -- Part IV: Tractography -- Part V: Machine Learning Approaches."]
[null,null,null,"Sommario/riassunto","This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews. This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary "]
[{"$nulls":4},"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."]