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» Imaging applications of stochastic minimal graphs
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ICIP
2001
IEEE
12 years 2 months ago
Imaging applications of stochastic minimal graphs
Alfred O. Hero, Bing Ma, Olivier Michel
MICCAI
2005
Springer
12 years 2 months ago
Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
Jue Wu, Albert C. S. Chung
ICIP
2008
IEEE
12 years 3 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
ECCV
2002
Springer
12 years 3 months ago
What Energy Functions Can Be Minimized via Graph Cuts?
In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs...
Vladimir Kolmogorov, Ramin Zabih
ECML
2007
Springer
11 years 7 months ago
Learning Metrics Between Tree Structured Data: Application to Image Recognition
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the speciļ¬c case of trees, some a...
Laurent Boyer 0002, Amaury Habrard, Marc Sebban
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