演講公告
新聞標題: ( 2015-09-14 )
演講主題:Tensor modeling for dimension reduction
主講人:陳素雲 教授(中央研究院統計科學研究所)
演講日期:2015年9月29日(星期二) 下午2:00 –3:00
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:
Singular value decomposition (SVD) and principal component analysis (PCA) are popular methods for unsupervised dimension reduction. In this talk, we will first briefly review SVD and PCA for vector data. Then we will introduce their extensions to high order SVD and multilinear PCA for array data. Statistical modeling, asymptotic theory and model complexity will be discussed. We will use image data for illustration.相關檔案:演講1040929.doc
相關檔案:演講1040929.odt
