1411 search results - page 110 / 283 » Discriminative Random Fields |
92
Voted
BC
2005
15 years 20 days ago
2005
A neural architecture is presented that encodes the visual space inside and outside of a shape. The contours of a shape are propagated across an excitable neuronal map and fed thro...
110
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PAMI
2007
15 years 8 days ago
2007
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
151
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CVPR
2009
IEEE
16 years 8 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 ...
82
Voted
IJCAI
1989
15 years 1 months ago
1989
This paper presents and compares results for three types of connectionist networks on perceptual learning tasks: [A] Multi-layered converging networks of neuron-like units, with e...
117
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CVPR
2000
IEEE
16 years 2 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...