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» Discriminative Random Fields
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ECCV
2008
Springer
14 years 10 months ago
A Dynamic Conditional Random Field Model for Joint Labeling of Object and Scene Classes
Object detection and pixel-wise scene labeling have both been active research areas in recent years and impressive results have been reported for both tasks separately. The integra...
Christian Wojek, Bernt Schiele
ECCV
2002
Springer
14 years 10 months ago
Factorial Markov Random Fields
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...
Junhwan Kim, Ramin Zabih
ICIP
2007
IEEE
14 years 10 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
ICPR
2008
IEEE
14 years 10 months ago
Change detection based on adaptive Markov Random Fields
Usually changes in remote sensing images go along with the appearance or disappearance of some edges. In addition, pixels located along the edges are likely to weakly influenced b...
Chunlei Huo, Hanqing Lu, Jian Cheng, Keming Chen, ...
ICPR
2006
IEEE
14 years 10 months ago
Detecting Coarticulation in Sign Language using Conditional Random Fields
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
Ruiduo Yang, Sudeep Sarkar