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» Global Connectivity Potentials for Random Field Models
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Publication
281views
15 years 7 months ago
Modeling Image Textures by Gibbs Random Fields
Drawbacks of the traditional scenario of image modeling by Gibbs random fields with multiple pairwise pixel interactions are outlined, and a more reasonable alternative scenario b...
Georgy Gimel'farb
SIAMADS
2010
122views more  SIAMADS 2010»
13 years 2 months ago
Local/Global Analysis of the Stationary Solutions of Some Neural Field Equations
Neural or cortical fields are continuous assemblies of mesoscopic models, also called neural masses, of neural populations that are fundamental in the modeling of macroscopic parts...
Romain Veltz, Olivier D. Faugeras
ICPR
2002
IEEE
14 years 8 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
JOCN
2010
74views more  JOCN 2010»
13 years 5 months ago
Connecting the Dots: How Local Structure Affects Global Integration in Infants
■ Glass patterns are moirés created from a sparse random-dot field paired with its spatially shifted copy. Because discrimination of these patterns is not based on local featur...
Melanie Palomares, Mark W. Pettet, Vladimir Vildav...
ICIP
2007
IEEE
14 years 9 months ago
Automatic Parametrisation for an Image Completion Method Based on Markov Random Fields
Recently, a new exemplar-based method for image completion, texture synthesis and image inpainting was proposed which uses a discrete global optimization strategy based on Markov ...
Huy Tho Ho, Roland Göcke