Matthew R. O'Shaughnessy

Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals

Mark A. Davenport, Christopher J. Rozell, Matthew R. O'Shaughnessy, 2020, IEEE Transactions on Signal Processing.

The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model

Mark A. Davenport, Marissa Connor, Christopher J. Rozell, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Dynamical System Implementations of Sparse Bayesian Learning

Mark A. Davenport, Christopher J. Rozell, Matthew R. O'Shaughnessy, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Localizing users and items from paired comparisons

Mark A. Davenport, Matthew R. O'Shaughnessy, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Joint Estimation of Trajectory and Dynamics from Paired Comparisons

Mark A. Davenport, Christopher J. Rozell, Matthew R. O'Shaughnessy, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).