15 search results - page 2 / 3 » Efficient Belief Propagation for Vision Using Linear Constra... |
CVPR
2009
IEEE
15 years 7 days ago
2009
IEEE
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Belief Propagation (BP) can be very useful and efficient for performing approximate inference on graphs. But when the graph is very highly connected with strong conflicting intera...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
We present Propagation Networks (P-Nets), a novel approach for representing and recognizing sequential activities that include parallel streams of action. We represent each activi...
CVPR
2004
IEEE
13 years 8 months ago
2004
IEEE
Graphical models are powerful tools for processing images. However, the large dimensionality of even local image data poses a difficulty: representing the range of possible graphi...
CVPR
2010
IEEE
14 years 11 days ago
2010
IEEE
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...