Jason A. Palmer

According to our database, Jason A. Palmer authored at least 16 papers between 2003 and 2023.

Collaborative distances:

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

2023

An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA.

Gwenevere Frank, Seyed Yahya Shirazi, Jason A. Palmer, Gert Cauwenberghs, Scott Makeig, Arnaud Delorme

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2018

Modeling brain dynamic state changes with adaptive mixture independent component analysis.

Sheng-Hsiou Hsu, Luca Pion-Tonachini, Jason A. Palmer, Makoto Miyakoshi, Scott Makeig, Tzyy-Ping Jung

NeuroImage, 2018

2013

The linear process mixture model.

Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

2012

Contrast Functions for Independent Subspace Analysis.

Jason A. Palmer, Scott Makeig

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011

Electrocortical source imaging of intracranial EEG data in epilepsy.

Zeynep Akalin Acar, Jason A. Palmer, Gregory A. Worrell, Scott Makeig

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Strong Sub- and Super-Gaussianity.

Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig

Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009

Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures.

Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig

Proceedings of the Independent Component Analysis and Signal Separation, 2009

A complex cross-spectral distribution model using Normal Variance Mean Mixtures.

Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Newton method for the ICA mixture model.

Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado, Bhaskar D. Rao

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Performance Evaluation of Latent Variable Models with Sparse Priors.

David P. Wipf, Jason A. Palmer, Bhaskar D. Rao, Kenneth Kreutz-Delgado

Proceedings of the IEEE International Conference on Acoustics, 2007

Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities.

Jason A. Palmer, Kenneth Kreutz-Delgado, Bhaskar D. Rao, Scott Makeig

Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006

Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization.

David P. Wipf, Rey Ramírez, Jason A. Palmer, Scott Makeig, Bhaskar D. Rao

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Super-Gaussian Mixture Source Model for ICA.

Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005

Variational EM Algorithms for Non-Gaussian Latent Variable Models.

Jason A. Palmer, David P. Wipf, Kenneth Kreutz-Delgado, Bhaskar D. Rao

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2003

Subset selection in noise based on diversity measure minimization.

Bhaskar D. Rao, Kjersti Engan, Shane F. Cotter, Jason A. Palmer, Kenneth Kreutz-Delgado

IEEE Trans. Signal Process., 2003

Perspectives on Sparse Bayesian Learning.

David P. Wipf, Jason A. Palmer, Bhaskar D. Rao

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003