148 search results - page 10 / 30 » A new stochastic image model based on Markov random fields a... |
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
This paper presents a new kernel method for appearance-based object recognition, highly robust to noise and occlusion. It consists of a fully connected Markov Random Field that in...
EMMCVPR
2007
Springer
14 years 1 months ago
2007
Springer
: We presented and evaluated a new Bayesian method for range image segmentation. The method proceeds in to stages. First, an initial segmentation was produced by a randomized regio...
BMCBI
2007
13 years 7 months ago
2007
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...