演講公告
新聞標題： ( 2018-09-04 )
演講主題：Geometric Analysis and Data Representation
主講人：陳志偉教授(中山大學 應用數學系)
演講日期：2018年9月11日(星期二) 14:00 –15:00
演講地點：(光復校區) 科學一館223室
茶會時間：當天下午1:30 (科學一館205室)
摘要內容：
Abstract. One of the main issue in manifold learning theory is to represent the data set by appropriate embedding maps. Such process is expected to reduce the dimension of the data set and maintain as much geometric structures as possible. One method is to employ eigenfunctions of the Laplacian as embedding functions. Surprisingly, this technique could be applied to tackle problems occurring in an active area in modern geometric analysis - the Ricci flow. In this talk, I will show you the confluence of the Ricci flow and the manifold learning theory.相關檔案：Talk_1070911.pdf
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