课题基金 / 基金详情

USA-Sino Summer School in Vision, Learning, Pattern Recognition, VLPR 2012

USA-Sino Summer School in Vision, Learning, Pattern Recognition, VLPR 2012
美中视觉、学习、模式识别暑期学校,VLPR 2012
批准号:
1240450
负责人:
Yanxi Liu
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-06-01 至 2013-05-31

项目摘要

项目成果

Yanxi Liu的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
This project supports US faculty members and graduate students to attend USA - Sino Summer School in Vision, Learning, Pattern Recognition (VLPR2012). The VLPR summer school has become a mutually beneficial annual event for computer vision researchers and students from both US and China. The impact and reputation of VLPR summer school sequence grows rapidly and VLPR 2012 continues this positive trend by focusing on Computer Vision in Biomedical Image Applications: from Micro to Macro. This topic complements the methodology-centered VLPRs in the past with an application-oriented and human-centered focus on life forms in drastically different scales: from human and animals (macro) to cells (micro). VLPR 2012 aims to illustrate a cross-sectional state of the art computer vision and machine learning methodologies, to broaden the horizon for innovations and creativities, and to address some fundamental issues of high throughput computing on multi-modality, high-dimensional, and high volume image data (Big Data). The theme of this summer school reflects the growing international trend of interdisciplinary research in biomedical image and smart health, and facilitates collaborative efforts between science and technology, computer science and medicine/biology, and US and China. In addition, this summer school offers a great opportunity for intellectual and cultural exchanges between a group of world-class computer vision researchers and motivated students from the two countries to converse and mingle with each other in an exciting, culturally rich environment during a week-long period.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
RI: Small: Explicit and Implicit Regularity Perception
INSPIRE: Symmetry Group-based Regularity Perception in Human and Computer Vision
EAGER: Recurring Pattern Discovery
Workshop/Tutorial/Competition: Computational Symmetry in Computer Vision
海外基金