216 search results - page 41 / 44 » Learning in Gaussian Markov random fields |
103
Voted
CVPR
2008
IEEE
15 years 6 months ago
2008
IEEE
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
89
Voted
COLING
2008
15 years 1 months ago
2008
We propose a new integrated approach based on Markov logic networks (MLNs), an effective combination of probabilistic graphical models and firstorder logic for statistical relatio...
AAAI
2004
15 years 1 months ago
2004
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
ACL
2006
15 years 1 months ago
2006
Certain distinctions made in the lexicon of one language may be redundant when translating into another language. We quantify redundancy among source types by the similarity of th...
131
Voted
ECCV
2010
Springer
14 years 9 months ago
2010
Springer
In this paper, we propose a robust supervised label transfer method for the semantic segmentation of street scenes. Given an input image of street scene, we first find multiple ima...