10 search results - page 1 / 2 » Minimax Entropy and Learning by Diffusion |
CVPR
1998
IEEE
13 years 9 months ago
1998
IEEE
1 A system of coupled differential equations is formulated which learns priors for modelling "preattentive" textures. It is derived from an energy functional consisting o...
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
In this paper we propose a novel inhomogeneous Gibbs model by the minimax entropy principle, and apply it to face modeling. The maximum entropy principle generalizes the statistic...
NIPS
1998
13 years 6 months ago
1998
There has been much recent work on measuring image statistics and on learning probability distributions on images. We observe that the mapping from images to statistics is many-to...
CVPR
2000
IEEE
14 years 7 months ago
2000
IEEE
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
CVPR
2000
IEEE
14 years 7 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...