1427 search results - page 31 / 286 » Markov Random Field Modeling in Computer Vision |
ICDAR
2007
IEEE
14 years 3 months ago
2007
IEEE
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
In this paper, a region-based spatio-temporal Markov random field (STMRF) model is proposed to segment moving objects semantically. The STMRF model combines segmentation results o...
SSIAI
2000
IEEE
14 years 1 months ago
2000
IEEE
The use of random fields, which allows one to take into account the spatial interaction among random variables in complex systems, is a frequent tool in numerous problems of stati...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper presents Bayesian edge inference (BEI), a
single-frame super-resolution method explicitly grounded in
Bayesian inference that addresses issues common to existing
meth...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...