2520 search results - page 13 / 504 » The complexity of approximating entropy |
CORR
2010
Springer
13 years 9 months ago
2010
Springer
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
CDC
2009
IEEE
14 years 1 months ago
2009
IEEE
This paper addresses the state estimation problem of nonlinear systems. We formulate the problem using a minimum energy estimator (MEE) approach and propose an entropy penalized sc...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
We consider the problem of learning multiscale graphical models. Given a collection of variables along with covariance specifications for these variables, we introduce hidden var...
BMCBI
2010
13 years 9 months ago
2010
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
APVIS
2011
12 years 9 months ago
2011
Visualization of flow fields with geometric primitives is often challenging due to occlusion that is inevitably introduced by 3D streamlines. In this paper, we present a novel v...