26 search results - page 1 / 6 » Sparse Gaussian graphical models with unknown block structur... |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
CORR
2010
Springer
12 years 11 months ago
2010
Springer
The problem of reliable communication over unknown frequency-selective block-fading channels with sparse impulse responses is considered. In particular, discrete-time impulse respo...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
DCC
2006
IEEE
14 years 4 months ago
2006
IEEE
We present a simple and efficient entropy coder that combines run-length and Golomb-Rice encoders. The encoder automatically switches between the two modes according to simple rul...
TSP
2010
12 years 11 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...