138 search results - page 4 / 28 » The Gaussian Process Density Sampler |
ICA
2007
Springer
13 years 11 months ago
2007
Springer
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 ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We present a method for the removal of noise including nonGaussian impulses from a signal. Impulse noise is removed jointly a homogenous Gaussian noise floor using a Gabor regres...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
DSMML
2004
Springer
13 years 10 months ago
2004
Springer
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show how to approximat...