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2020.07.23-24
Manifold learning encompasses much of the disciplines of geometry, computation, and statistics, and has become an important research topic in data mining and statistical learning. The simplest description of manifold learning is that it is a class of algorithms for recovering a low-dimensional manifold embedded in a high-dimensional ambient space.
Manifold learning encompasses much of the disciplines of geometry, computation, and statistics, and has become an important research topic in data mining and statistical learning. The simplest description of manifold learning is that it is a class of algorithms for recovering a low-dimensional manifold embedded in a high-dimensional ambient space.
The goal of this mini-course is to introduce three of the important topics in manifold learning theory: PCA (Principal Component Analysis), diffusion map and MDS (Multidimensional Scaling). We will introduce the theory and implementation of these topics. The prerequisite of this mini-course is linear algebra.
The goal of this mini-course is to introduce three of the important topics in manifold learning theory: PCA (Principal Component Analysis), diffusion map and MDS (Multidimensional Scaling). We will introduce the theory and implementation of these topics. The prerequisite of this mini-course is linear algebra.
Schedule
Schedule
2020/07/23
2020/07/23
10:30-12:00 PCA
12:00-13:30 Lunch break
13:30-15:00 MDS
15:00-15:20 Break
15:20-16:10 Diffusion Maps (I)
16:10-16:30 Break
16:30-17:20 Diffusion Maps (II)
10:30-12:00 PCA
12:00-13:30 Lunch break
13:30-15:00 MDS
15:00-15:20 Break
15:20-16:10 Diffusion Maps (I)
16:10-16:30 Break
16:30-17:20 Diffusion Maps (II)
All courses are accompanied with basic programming (using Matlab).
All courses are accompanied with basic programming (using Matlab).
Live broadcast
Live broadcast
Lecture notes
Lecture notes
交通及住宿補助辦法
交通及住宿補助辦法
Location
Location
Room 3178, 4F, Department of Mathematics, NCKU, Tainan
Room 3178, 4F, Department of Mathematics, NCKU, Tainan
Organizers
Organizers
Chih-Wei Chen 陳志偉, NSYSU
River Chiang 江孟蓉, NCKU
Matthew M. Lin 林敏雄, NCKU
Yu-Chen Shu 舒宇宸, NCKU
Mao-Pei Tsui 崔茂培, NTU
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Sponsored by
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