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学术报告:Fused-Lasso and its application to image processing

发布时间:2015年02月05日 浏览次数: 文章作者:02-07 发布者:高春玲

报 告 人:荆炳义教授  香港科技大学数学系

 

报告题目:Fused-Lasso and its application to image processing

 

报告时间:201527日下午1600

 

报告地点:海韵数理楼661

 

学院联系人:刘继春教授

 

报告摘要:In this talk, we will investigate feature selections using non-convex penalty. In particular, we study the maximum concavity penalty (MCP) in the context of image reconstruction. We will illustrate that this will give much sharper images along the edges and better contrast than alternatives. Furthermore, we will try to develop algorithms for using these non-convex penalties.

 

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