477 search results - page 85 / 96 » Modeling Image Textures by Gibbs Random Fields |
IPMI
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. In this paper we propose a novel approach to define task-driven regularization constraints in deformable image registration using learned deformation priors. Our method ...
104
Voted
ACCV
2010
Springer
14 years 5 months ago
2010
Springer
Recent work on early vision such as image segmentation, image restoration, stereo matching, and optical flow models these problems using Markov Random Fields. Although this formula...
CVPR
2008
IEEE
16 years 6 days ago
2008
IEEE
Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these p...
JMLR
2010
14 years 5 months ago
2010
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
92
Voted
TMM
2002
14 years 9 months ago
2002
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...