16 search results - page 3 / 4 » Approximations of posterior distributions in blind deconvolu... |
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
SIAMIS
2011
13 years 1 months ago
2011
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
PAMI
2008
13 years 6 months ago
2008
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
IDA
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
BMCBI
2007
13 years 6 months ago
2007
Background: Serial Analysis of Gene Expression (SAGE) is a high-throughput method for inferring mRNA expression levels from the experimentally generated sequence based tags. Stand...