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Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures

BOOK CHAPTER published 2009 in Independent Component Analysis and Signal Separation

Authors: Jason A. Palmer | Ken Kreutz-Delgado | Scott Makeig

A generalized multivariate logistic model and EM algorithm based on the normal variance mean mixture representation

PROCEEDINGS ARTICLE published June 2016 in 2016 IEEE Statistical Signal Processing Workshop (SSP)

Authors: Jason A. Palmer | Ken Kreutz-Delgado | Scott Makeig

An EM algorithm for maximum likelihood estimation of Barndorff-Nielsen's generalized hyperbolic distribution

PROCEEDINGS ARTICLE published June 2016 in 2016 IEEE Statistical Signal Processing Workshop (SSP)

Authors: Jason A. Palmer | Ken Kreutz-Delgado | Scott Makeig

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

PROCEEDINGS ARTICLE published April 2009 in 2009 IEEE International Conference on Acoustics, Speech and Signal Processing

Authors: J. A. Palmer | S. Makeig | K. Kreutz-Delgado

A globally convergent algorithm for MAP estimation in the linear model with non-Gaussian priors

PROCEEDINGS ARTICLE published in Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.

Authors: J.A. Palmer | K. Kreutz-Delgado

Generalized Gaussian process models

PROCEEDINGS ARTICLE published June 2011 in CVPR 2011

Authors: Antoni B. Chan | Daxiang Dong

Super-Gaussian Mixture Source Model for ICA

BOOK CHAPTER published 2006 in Independent Component Analysis and Blind Signal Separation

Authors: Jason A. Palmer | Kenneth Kreutz-Delgado | Scott Makeig

Performance Evaluation of Latent Variable Models with Sparse Priors

PROCEEDINGS ARTICLE published April 2007 in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07

Authors: David Wipf | Jason Palmer | Bhaskar Rao | Kenneth Kreutz-Delgado

Generalized linear models for continuous/interval scale data

BOOK CHAPTER published 25 April 2011 in Multivariate Generalized Linear Mixed Models Using R

Generalized linear models for continuous/interval scale data

BOOK CHAPTER published 25 April 2011 in Multivariate Generalized Linear Mixed Models Using R

Human Trajectory Sampling at the City-Day Scale v1

POSTED CONTENT published

Authors: John JRBP Palmer

SAR Image Denoising Based on Lifting Directionlet Domain Gaussian Scale Mixtures Model

JOURNAL ARTICLE published 9 October 2009 in Chinese Journal of Computers

Authors: Jing BAI | Biao HOU | Shuang WANG | Li-Cheng JIAO

Tree structure matching pursuit based on Gaussian scale mixtures model

PROCEEDINGS ARTICLE published 8 September 2011 in SPIE Proceedings

Authors: Peng Liu | Zhiwen Liu | Jingbo Wei | Dingsheng Liu

Editors: Andrew G. Tescher

Approximate inference in switching linear dynamical systems using Gaussian mixtures

BOOK CHAPTER published 11 August 2011 in Bayesian Time Series Models

Authors: David Barber

The linear process mixture model

PROCEEDINGS ARTICLE published September 2013 in 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

Authors: Jason A. Palmer | Ken Kreutz-Delgado | Scott Makeig

Mixed models for continuous/interval scale data

BOOK CHAPTER published 25 April 2011 in Multivariate Generalized Linear Mixed Models Using R

Spatio-Temporal Data Analysis at Scale Using Models Based on Gaussian Processes

REPORT published 13 March 2017

Authors: Michael Stein

Mixed models for continuous/interval scale data

BOOK CHAPTER published 25 April 2011 in Multivariate Generalized Linear Mixed Models Using R

Subset selection in noise based on diversity measure minimization

JOURNAL ARTICLE published March 2003 in IEEE Transactions on Signal Processing

Authors: B.D. Rao | K. Engan | S.F. Cotter | J. Palmer | K. Kreutz-Delgado

ABROA: Audio-based room-occupancy analysis using Gaussian mixtures and Hidden Markov models

PROCEEDINGS ARTICLE published December 2016 in 2016 Future Technologies Conference (FTC)

Authors: Rafael Valle