Jason A. Palmer

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 2

Top Topics

Independent Component Analysis

Optimal Parameters

Blind Source Separation

Top Venues

Publications

Gwenevere Frank, Seyed Yahya Shirazi, Jason A. Palmer, Gert Cauwenberghs, Scott Makeig, Arnaud Delorme
An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA. BIBE (2023)
Sheng-Hsiou Hsu, Luca Pion-Tonachini, Jason A. Palmer, Makoto Miyakoshi, Scott Makeig, Tzyy-Ping Jung
Modeling brain dynamic state changes with adaptive mixture independent component analysis. NeuroImage 183 (2018)
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig
The linear process mixture model. MLSP (2013)
Jason A. Palmer, Scott Makeig
Contrast Functions for Independent Subspace Analysis. LVA/ICA (2012)
Zeynep Akalin Acar, Jason A. Palmer, Gregory A. Worrell, Scott Makeig
Electrocortical source imaging of intracranial EEG data in epilepsy. EMBC (2011)
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig
Strong Sub- and Super-Gaussianity. LVA/ICA (2010)
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures. ICA (2009)
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado
A complex cross-spectral distribution model using Normal Variance Mean Mixtures. ICASSP (2009)
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado, Bhaskar D. Rao
Newton method for the ICA mixture model. ICASSP (2008)
David P. Wipf, Jason A. Palmer, Bhaskar D. Rao, Kenneth Kreutz-Delgado
Performance Evaluation of Latent Variable Models with Sparse Priors. ICASSP (2) (2007)
Jason A. Palmer, Kenneth Kreutz-Delgado, Bhaskar D. Rao, Scott Makeig
Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities. ICA (2007)
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig
Super-Gaussian Mixture Source Model for ICA. ICA (2006)
David P. Wipf, Rey Ramírez, Jason A. Palmer, Scott Makeig, Bhaskar D. Rao
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization. NIPS (2006)
Jason A. Palmer, David P. Wipf, Kenneth Kreutz-Delgado, Bhaskar D. Rao
Variational EM Algorithms for Non-Gaussian Latent Variable Models. NIPS (2005)
Bhaskar D. Rao, Kjersti Engan, Shane F. Cotter, Jason A. Palmer, Kenneth Kreutz-Delgado
Subset selection in noise based on diversity measure minimization. IEEE Trans. Signal Process. 51 (3) (2003)
David P. Wipf, Jason A. Palmer, Bhaskar D. Rao
Perspectives on Sparse Bayesian Learning. NIPS (2003)