Flag Manifolds for the Characterization of Geometric Structure in Large Data Sets. - Tim Marrinan; J. Ross Beveridge; Bruce A. Draper; Michael Kirby; Chris Peterson 001 (ENUMATH, 2013)

Finding the Subspace Mean or Median to Fit Your Need. - Tim Marrinan; Bruce A. Draper; J. Ross Beveridge; Michael Kirby; Chris Peterson 001 (CVPR, 2014)

Constrained subspace estimation via convex optimization. - Ignacio Santamaría; Javier Vía; Michael Kirby; Tim Marrinan; Chris Peterson 001; Louis Scharf (EUSIPCO, 2017)

Complete Model Selection in Multiset Canonical Correlation Analysis. - Tim Marrinan; Tanuj Hasija; Christian Lameiro; Peter J. Schreier (EUSIPCO, 2018)

Estimating the Number of Correlated Components Based on Random Projections. - Christian Lameiro; Tanuj Hasija; Tim Marrinan; Peter J. Schreier (ICASSP, 2019)

Hyperspectral Unmixing with Rare Endmembers via Minimax Nonnegative Matrix Factorization. - Timothy Marrinan; Nicolas Gillis (EUSIPCO, 2020)

On a minimum enclosing ball of a collection of linear subspaces. - Timothy Marrinan; Pierre-Antoine Absil; Nicolas Gillis (CoRR, 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)

A GLRT for estimating the number of correlated components in sample-poor mCCA. - Tanuj Hasija; Timothy Marrinan (EUSIPCO, 2022)

Deep Learning from Noisy Labels via Robust Nonnegative Matrix Factorization-Based Design. - Daniel Grey Wolnick; Shahana Ibrahim; Tim Marrinan; Xiao Fu 001 (CAMSAP, 2023)

Geodesic-Based Relaxation For Deep Canonical Correlation Analysis. - Maurice Kuschel; Timothy Marrinan; Tanuj Hasija (MLSP, 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)

Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning. - Maurice Kuschel; Tanuj Hasija; Timothy Marrinan (ICASSP, 2024)

Labeling Sequential Data From Noisy Annotations. - Tim Marrinan; Shahana Ibrahim; Xiao Fu 001 (SAM, 2024)

Measuring model variability using robust non-parametric testing. - Sinjini Banerjee; Tim Marrinan; Reilly Cannon; Tony Chiang; Anand D. Sarwate (CoRR, 2024)