会议名称(中文)：2014 SIAM成像科学会议
会议名称(英文)：SIAM Conference on Imaging Science (SIAM-IS14)
所属学科：信号与信息处理
开始日期：2014-05-12
结束日期：2014-05-14
所在国家：中华人民共和国
所在城市：香港特别行政区 香港
具体地点：香港浸会大学
主办单位：SIAM Activity Group on Imaging Science
协办单位：
承办单位：香港浸会大学
议题：
[ 组织结构 ]
会议主席：
组织委员会主席：
程序委员会主席：
会议嘉宾：
姓名 职务 简介 演讲题目
[ 重要日期 ]
摘要截稿日期：2013-11-06
[ 会务组联系方式 ]
联系人：
联系电话：
传真：
E-MAIL：is14sub@math.hkbu.edu.hk
通讯地址：
邮政编码：
会议注册费：
会议网站：http://www.math.hkbu.edu.hk/SIAM-IS14/
会议背景介绍：
The interdisciplinary field of imaging science is experiencing tremendous growth. New devices capable of imaging objects and structures from nanoscale to the astronomical scale are continuously being developed and improved, and as result, the reach of science and medicine has been extended in exciting and unexpected ways. The impact of this technology has been to generate new challenges associated with the problems of formation, acquisition, compression, transmission, and analysis of images. By their very nature, these challenges cut across the disciplines of physics, engineering, mathematics, biology, medicine, and statistics. While the primary purpose of this conference is to focus on mathematical issues, the other facets of imaging, such as biomedical and engineering aspects, for example, will also play an important role.
SIAM-IS14 will exchange research results and address open issues in all aspects of imaging science and provide a forum for the presentation of work in imaging science.
征文范围及要求：
Conference Themes
The reconstruction, enhancement, segmentation, analysis, registration, compression, representation,
and tracking of two and three dimensional images are vital to many areas of science, medicine, and
engineering. As a result, increasingly sophisticated mathematical, statistical, and computational
methods are being employed in these research areas, which may be referred to as imaging science.
These techniques include transform and orthogonal series methods, nonlinear optimization, numerical
linear algebra, integral equations, partial differential equations, Bayesian and other statistical inverse
estimation methods, operator theory, differential geometry, information theory, interpolation and
approximation, inverse problems, computer graphics and vision, stochastic processes, and others. |
