454 search results - page 36 / 91 » A Markov Random Field Model of Microarray Gridding |
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Many state-of-the-art segmentation algorithms rely on Markov or Conditional Random Field models designed to enforce spatial and global consistency constraints. This is often accom...
ACISICIS
2007
IEEE
15 years 4 months ago
2007
IEEE
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
101
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
We address the problem of label assignment in computer
vision: given a novel 3-D or 2-D scene, we wish to assign a
unique label to every site (voxel, pixel, superpixel, etc.). To...
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
In this paper we present a multichannel image restoration method using Compound Gauss Markov Random Field (CGMRF) models. Information regarding the objects present in the scene is...
124
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...