HAMLT
Heuristics and Analysis in Manifold Learning Theory
WHO WE ARE
WHO WE ARE
This is a long-term project held by Jephian Lin, Chih-Wei Chen and ShengLi Tzeng since 2019.
This is a long-term project held by Jephian Lin, Chih-Wei Chen and ShengLi Tzeng since 2019.
We are individually supported by NSYSU and MOST in Taiwan.
We are individually supported by NSYSU and MOST in Taiwan.
OUR AIM
OUR AIM
The aim of our laboratory is to study data points by using graph theory and geometric methods. Manifold Learning is one of our main interests.
The aim of our laboratory is to study data points by using graph theory and geometric methods. Manifold Learning is one of our main interests.
We wish to build a synthetic study based on Geometry, Graph Theory, Topology, and Analysis, along with solid knowledge in Statistics and Programming.
We wish to build a synthetic study based on Geometry, Graph Theory, Topology, and Analysis, along with solid knowledge in Statistics and Programming.
WORK TOGETHER
WORK TOGETHER
Young researchers/postdocs are highly welcomed!
Young researchers/postdocs are highly welcomed!
ORGANIZERS
ORGANIZERS
ShengLi Tzeng
ShengLi Tzeng
Jephian Lin
Jephian Lin
Chih-Wei Chen
Chih-Wei Chen
RESEARCH SUBJECTS
RESEARCH SUBJECTS
Graph Laplacian and Spectral Embedding
Geometry in Statistical Learning
Consistency of Weighted Laplacians
Recovery Problem of Embeddings
Geostatistics and Clustering
Keywords: HAMLT, Manifold Learning, NSYSU, Chih-Wei Chen, Jephian Lin, ShengLi Tzeng, geometry, graph, statistics