292 search results - page 50 / 59 » Decomposition of range images using markov random fields |
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
IPMI
2011
Springer
12 years 11 months ago
2011
Springer
Tumor segmentation in PET and CT images is notoriously challenging due to the low spatial resolution in PET and low contrast in CT images. In this paper, we proposed a general fram...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...