Logo System Theory Group

Signal & System Theory Group

Professor Peter Schreier
Universität Paderborn, Germany

Dr. Tim Marrinan

Research Associate
MS (Colorado State University, USA), 2013
Ph.D. (Colorado State University, USA), 2016

Room: P1.7.13.6
Phone: +49 (0)5251 60-3622
[javascript protected email address]

Tim Marrinan studied applied mathematics and geology at Whitman College; earning a Bachelor's degree in 2008. He subsequently spent two years outside of academia before joining the Pattern Analysis Lab in the department of mathematics at Colorado State University in 2010. During his time at CSU, Tim served as a graduate research and teaching assistant, mentor to incoming GTA's, and President of the CSU student chapter of the Society for Industrial and Applied Mathematicians (SIAM). Focusing his research on geometric data analysis with applications to computer vision and pattern recognition, Tim received an MS in 2013 under the supervision of Michael Kirby and Chris Peterson. During the summer of 2015, Tim joined the Pacific Northwest National Lab as a PhD intern in the National Security Directorate. In the fall of 2016 he completed his PhD from Colorado State University with Michael Kirby and Chris Peterson, and joined the Signal and System Theory Group at the University of Paderborn as a postdoctoral research associate at the start of 2017. Tim's other research interests include signal processing, topological data analysis, optimization, machine learning, semidefinite programming, dimensionality reduction, domain adaptation, and statistics on Riemannian manifolds.

List of Publications

Journal article
Link to PDF
A flag representation for finite collections of subspaces of mixed dimensions
(Bruce Draper, Michael Kirby, Justin Marks, Tim Marrinan and Chris Peterson)
Lin. Alg. Appl. 451pp. 15–32Elsevier2014.

Conference articles
Complete model selection in multiset canonical correlation analysis
(T. Marrinan, T. Hasija, C. Lameiro and P. J. Schreier)
Proc. European Signal Process. Conf. (EUSIPCO)pp. 1082–1086September 2018. [BibTeX]
Constrained subspace estimation via convex optimization.
(Igancia Santamaria, Javier Via, Michael Kirby, Tim Marrinan, Chris Peterson and Louis Scharf)
25th European Signal Processing Conference (EUSIPCO)pp. 1200–12042017. [BibTeX]
Link to PDF
Adaptive visual sort and summary of micrographic images of nanoparticles for forensic analysis
(Elizabeth Jurrus, Nathan Hodas, Nathan Baker, Tim Marrinan and Mark D Hoover)
Technologies for Homeland Security (HST), 2016 IEEE Symposium onpp. 1–62016.
Link to PDF
Flag-based detection of weak gas signatures in long-wave infrared hyperspectral image sequences.
(Tim Marrinan, J. Ross Beveridge, Bruce Draper, Michael Kirby and Chris Peterson)
SPIE Defense, Security, and Sensing2016.
Link to PDF
Flag manifolds for the characterization of geometric structure in large data sets
(Tim Marrinan, J. Ross Beveridge, Bruce Draper, Michael Kirby and Chris Peterson)
Numerical Mathematics and Advanced Applications-ENUMATH 2013pp. 457–465Springer2015.
Link to PDF
Finding the subspace mean or median to fit your need
(Tim Marrinan, Bruce Draper, J. Ross Beveridge, Michael Kirby and Chris Peterson)
CVPRpp. 1082–10892014.