26 search results - page 4 / 6 » Sparse Gaussian graphical models with unknown block structur... |
CORR
2007
Springer
13 years 6 months ago
2007
Springer
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
SDM
2009
SIAM
14 years 3 months ago
2009
SIAM
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
CVPR
2003
IEEE
14 years 8 months ago
2003
IEEE
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
SIGGRAPH
2010
ACM
13 years 10 months ago
2010
ACM
We introduce an interactive tool which enables a user to quickly assemble an architectural model directly over a 3D point cloud acquired from large-scale scanning of an urban scen...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...