Tim Marrinan

According to our database, Tim Marrinan authored at least 12 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks.

Sinjini Banerjee, Reilly Cannon, Tim Marrinan, Tony Chiang, Anand D. Sarwate

CoRR, 2023

Geodesic-Based Relaxation For Deep Canonical Correlation Analysis.

Maurice Kuschel, Timothy Marrinan, Tanuj Hasija

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Deep Learning from Noisy Labels via Robust Nonnegative Matrix Factorization-Based Design.

Daniel Grey Wolnick, Shahana Ibrahim, Tim Marrinan, Xiao Fu

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

A GLRT for estimating the number of correlated components in sample-poor mCCA.

Tanuj Hasija, Timothy Marrinan

Proceedings of the 30th European Signal Processing Conference, 2022

2020

Determining the dimension and structure of the subspace correlated across multiple data sets.

Tanuj Hasija, Timothy Marrinan, Christian Lameiro, Peter J. Schreier

Signal Process., 2020

On a minimum enclosing ball of a collection of linear subspaces.

Timothy Marrinan, Pierre-Antoine Absil, Nicolas Gillis

CoRR, 2020

Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization.

Timothy Marrinan, Nicolas Gillis

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Estimating the Number of Correlated Components Based on Random Projections.

Christian Lameiro, Tanuj Hasija, Tim Marrinan, Peter J. Schreier

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Complete Model Selection in Multiset Canonical Correlation Analysis.

Tim Marrinan, Tanuj Hasija, Christian Lameiro, Peter J. Schreier

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Constrained subspace estimation via convex optimization.

Ignacio Santamaría, Javier Vía, Michael Kirby, Tim Marrinan, Chris Peterson, Louis Scharf

Proceedings of the 25th European Signal Processing Conference, 2017

2014

Finding the Subspace Mean or Median to Fit Your Need.

Tim Marrinan, Bruce A. Draper, J. Ross Beveridge, Michael Kirby, Chris Peterson

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Flag Manifolds for the Characterization of Geometric Structure in Large Data Sets.

Tim Marrinan, J. Ross Beveridge, Bruce A. Draper, Michael Kirby, Chris Peterson

Proceedings of the Numerical Mathematics and Advanced Applications - ENUMATH 2013, 2013