Jason A. Palmer

16 papers C 1Misc 2Journal 2Unranked 11

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