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星光直播 报告十七:Compressed sensing and variation selection

时间:2021-03-30 14:59

主讲人 星光直播 时间
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数学与统计星光直播 星光直播 报告[2021] 017

(高水平大学建设系列报告517)

报告题目: Compressed sensing and variation selection

报告人:张威  助理教授(华南理工大学

报告地点:汇紫楼B210

报告时间:20214 1 下午 8:009:00

报告内容:

In compressed sensing and variation selection, sparsity inducing regularizers play an important role for successful recovery and selection. In the last decade, nonconvex regularizers are becoming more and more popular, for both the experimental results theory guarantee. This talk will introduce a novel nonconvex regularizer, and show its performance over the classical ones.

报告人简介:

Wei zhang received his Ph.D. at the University of Chinese Academy of Sciences in the year of 2015. He is now an assistant professor at the School of Mathematical Sciences, South China University of Technology. His research is primarily on numerical optimization and graph theory.

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