236 search results - page 3 / 48 » Learning How to Propagate Using Random Probing |
AIA
2007
13 years 9 months ago
2007
This paper introduces a machine learning approach into the process of direct volume rendering of biomedical highresolution 3D images. More concretely, it proposes a learning pipel...
IJCV
1998
13 years 7 months ago
1998
The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot repre...
EDM
2009
13 years 5 months ago
2009
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different in...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Generalized Belief Propagation (gbp) has proven to be a promising technique for performing inference on Markov random fields (mrfs). However, its heavy computational cost and large...
ALGORITHMICA
1998
13 years 7 months ago
1998
Mallows and Riordan showed in 1968 that labeled trees with a small number of inversions are related to labeled graphs that are connected and sparse. Wright enumerated sparse connec...