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- Bhaskar D. Rao, Kjersti Engan, Shane F. Cotter, Jason A. Palmer, Kenneth Kreutz-Delgado
- IEEE Trans. Signal Processing
- 2003

In this paper, we develop robust methods for subset selection based on the minimization of diversity measures. A Bayesian framework is used to account for noise in the data and a maximum a posterioriâ€¦ (More)

We consider criteria for variational representations of non-Gaussian latent variables, and derive variational EM algorithms in general form. We establish a general equivalence among convex boundingâ€¦ (More)

- Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado, Bhaskar D. Rao
- 2008 IEEE International Conference on Acousticsâ€¦
- 2008

We derive an asymptotic Newton algorithm for quasi-maximum likelihood estimation of the ICA mixture model, using the ordinary gradient and Hessian. The probabilistic mixture framework yields anâ€¦ (More)

We propose an extension of the mixture of factor (or independent component) analyzers model to include strongly super-gaussian mixture source densities. This allows greater economy in representationâ€¦ (More)

- David P. Wipf, Jason A. Palmer, Bhaskar D. Rao
- NIPS
- 2003

Recently, relevancevector machines (RVM) have been fashioned from a sparse Bayesian learning (SBL) framework to perform supervised learning using a weight prior that encourages sparsity ofâ€¦ (More)

- Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig
- LVA/ICA
- 2010

We introduce the terms strong suband super-Gaussianity to refer to the previously introduced class of densities log-concave is x and log-convex in x respectively. We derive relationships among theâ€¦ (More)

We extend the Gaussian scale mixture model of dependent subspace source densities to include non-radially symmetric densities using Generalized Gaussian random variables linked by a common variance.â€¦ (More)

- David P. Wipf, Jason A. Palmer, Bhaskar D. Rao, Kenneth Kreutz-Delgado
- 2007 IEEE International Conference on Acousticsâ€¦
- 2007

A variety of Bayesian methods have recently been introduced for finding sparse representations from overcomplete dictionaries of candidate features. These methods often capitalize on latent structureâ€¦ (More)

We extend the Gaussian scale mixture model of dependent subspace source densities to include non-radially symmetric densities using Generalized Gaussian random variables linked by a common variance.â€¦ (More)

- G McLoughlin, Jason A. Palmer, Fruhling V. Rijsdijk, Scott Makeig
- Biological psychiatry
- 2014

BACKGROUND
Electrophysiological and hemodynamic activity is altered in attention-deficit/hyperactivity disorder (ADHD) during tasks requiring cognitive control. Frontal midline theta oscillations areâ€¦ (More)