Manifolds for Extreme-scale Applied Data Science
Project website
Project Description
The Manifolds for Extreme-scale Applied Data Science project at University at Buffalo (UB) is a research endeavor to develop new solutions for learning non-linear low-dimensional representations from massive high-dimensional data sets. The project is funded by a grant from NSF titled - Scalable Non-linear Dimensionality Reduction Methods to Accelerate Scientific Discovery.
UBDS Contributors
Namit Juneja (RA), Varun Chandola (PI)
Other Contributors
Prof. Jaroslaw Zola (Co-PI), Prof. Olga Wodo (co-PI)
Funding
National Science Foundation (NSF OAC 1910539)
Project Duration
05/2019 - 05/2022