406 search results - page 25 / 82 » Gaussian Mixture Modeling with Gaussian Process Latent Varia... |
122
click to vote
ICA
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we describe a methodology for model-based single channel separation of sounds. We present a sparse latent variable model that can learn sounds based on their distribu...
137
click to vote
JMLR
2007
15 years 4 months ago
2007
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
145
click to vote
GI
2009
Springer
15 years 8 months ago
2009
Springer
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...
141
click to vote
CORR
2006
Springer
15 years 4 months ago
2006
Springer
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has received much attention in the past. Most previous wo...
159
click to vote
ICIP
2006
IEEE
16 years 6 months ago
2006
IEEE
In this paper, a Bayesian wavelet denoising procedure for multicomponent images is proposed. The procedure makes use of a noise-free single component image as prior information. T...