找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data; Carl-Fredrik Westin,Anna Vilanova,Bernhard Bur

[复制链接]
查看: 25066|回复: 55
发表于 2025-3-21 19:05:11 | 显示全部楼层 |阅读模式
书目名称Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data
编辑Carl-Fredrik Westin,Anna Vilanova,Bernhard Burgeth
视频video
概述Discusses challenges in both theoretical and practical issues related to analyzing and visualizing fields of tensors and higher order descriptors.Provides examples of tensors as applied to research in
丛书名称Mathematics and Visualization
图书封面Titlebook: Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data;  Carl-Fredrik Westin,Anna Vilanova,Bernhard Bur
描述.Arising from the fourth Dagstuhl conference entitled Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data (2011), this book offers a broad and vivid view of current work in this emerging field. Topics covered range from applications of the analysis of tensor fields to research on their mathematical and analytical properties..Part I, Tensor Data Visualization, surveys techniques for visualization of tensors and tensor fields in engineering, discusses the current state of the art and challenges, and examines tensor invariants and glyph design, including an overview of common glyphs..The second Part, Representation and Processing of Higher-order Descriptors, describes a matrix representation of local phase, outlines mathematical morphological operations techniques, extended for use in vector images, and generalizes erosion to the space of diffusion weighted MRI..Part III, Higher Order Tensors and Riemannian-Finsler Geometry, offers powerful mathematical language to model and analyze large and complex diffusion data such as High Angular Resolution Diffusion Imaging (HARDI) and Diffusion Kurtosis Imaging (DKI)..A Part entitled Tensor Signal Process
出版日期Conference proceedings 2014
关键词Diffusion tensor imaging (DT-MRI); High angular resolution diffusion imaging (HARDI); Higher-order des
版次1
doihttps://doi.org/10.1007/978-3-642-54301-2
isbn_softcover978-3-662-51257-9
isbn_ebook978-3-642-54301-2Series ISSN 1612-3786 Series E-ISSN 2197-666X
issn_series 1612-3786
copyrightSpringer-Verlag Berlin Heidelberg 2014
The information of publication is updating

书目名称Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data影响因子(影响力)




书目名称Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data影响因子(影响力)学科排名




书目名称Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data网络公开度




书目名称Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data网络公开度学科排名




书目名称Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data被引频次




书目名称Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data被引频次学科排名




书目名称Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data年度引用




书目名称Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data年度引用学科排名




书目名称Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data读者反馈




书目名称Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:30:10 | 显示全部楼层
发表于 2025-3-22 02:48:05 | 显示全部楼层
Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data978-3-642-54301-2Series ISSN 1612-3786 Series E-ISSN 2197-666X
发表于 2025-3-22 08:35:03 | 显示全部楼层
发表于 2025-3-22 10:34:20 | 显示全部楼层
发表于 2025-3-22 16:05:50 | 显示全部楼层
发表于 2025-3-22 19:31:39 | 显示全部楼层
Sharpening Fibers in Diffusion Weighted MRI via Erosion HJB equations: analytical kernels, and finite differences. Proof of concept is given by showing improved visibility of major fiber bundles in both artificial and human data. Furthermore, the method is shown to significantly improve the output of a probabilistic tractography algorithm used to extract the optic radiation.
发表于 2025-3-22 22:03:50 | 显示全部楼层
发表于 2025-3-23 03:04:09 | 显示全部楼层
发表于 2025-3-23 08:08:31 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-2 05:24
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表