419 search results - page 42 / 84 » Statistical relational learning of trust |
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper deals with estimation of dense optical flow
and ego-motion in a generalized imaging system by exploiting
probabilistic linear subspace constraints on the flow.
We dea...
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
AAAI
2007
13 years 11 months ago
2007
Analysis of postgenomic biological data (such as microarray and SNP data) is a subtle art and science, and the statistical methods most commonly utilized sometimes prove inadequat...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...