Data Dialogue: Inverse Problems in Applied Topology
Sponsor(s): Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Energy Initiative, Mathematics, Pratt School of Engineering, SSRI Initiative on Qualitative Ethnographic and Mixed Methods (SIQEM), and Statistical Science
Inverse Problems in Applied Topology
Topological Data Analysis provides novel methods for extracting features from geometric data structures. Questions of interpretability and discriminativity on the side of data analysis translate into questions of invertibility of the underlying mathematical operations. In this talk, I'll discuss some of the work that has been done on these inverse problems and some directions of ongoing research.
LUNCH: 11:45 a.m.
SEMINAR: 12:00
Contact: Ariel Dawn