6251 search results - page 859 / 1251 » Randomness, Computability, and Density |
225
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CVPR
2000
IEEE
16 years 9 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...
221
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CVPR
2001
IEEE
16 years 9 months ago
2001
IEEE
Texture replacement in real images has many applications, such as interior design, digital movie making and computer graphics. The goal is to replace some specified texture patter...
211
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CVPR
2007
IEEE
16 years 9 months ago
2007
IEEE
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....
211
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CVPR
2007
IEEE
16 years 9 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
230
click to vote
CVPR
2007
IEEE
16 years 9 months ago
2007
IEEE
This paper proposes a novel model-guided segmentation framework utilizing a statistical surface wavelet model as a shape prior. In the model building process, a set of training sh...