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财霸王515886:专家学术讲座暨青年学者学术沙龙(第一百四十二期)

发布日期:2023-09-25 点击数:


   


报告题目:High Dimensional Data Recovery

报告时间:2023年9月28日14:00-15:00

报告形式:#腾讯会议:691-793-600

报告摘要:In recent years, high dimensional data recovery has been extensively studied and analyzed, which can be applied to many data science applications such as recommendation, image recovery and one-bit data statistical estimation. In this talk, we present several variants of data recovery models and their applications using linear algebra techniques. We provide theoretical insight to create a rigorous scientific basis for solving such data recovery problems. Numerical examples are also given to demonstrate the usefulness of these models.



报告人简介:吴国宝,香港浸会大学数学与数据科学讲座教授,数学家,美国工业与应用数学学会院士(SIAM  Fellow),冯康科学计算奖得主。主要研究方向为应用与计算数学、人工智能与机器学习、数据与影像科学与数值线性代数与科学计算。吴国宝教授先后担任多个著名杂志主编或者副主编,包括SIAM Journal on Imaging Sciences,SIAM Journal on Scientific Computing,Journal of Scientific Computing,Journal of Computational and Applied Mathematics等。吴国宝教授发表学术著作700多篇,文章引用次数多达2万多次。








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