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» A Markov random field model for term dependencies
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CVPR
2007
IEEE
15 years 11 months ago
Multi-label image segmentation via max-sum solver
We formulate single-image multi-label segmentation into regions coherent in texture and color as a MAX-SUM problem for which efficient linear programming based solvers have recent...
Branislav Micusík, Tomás Pajdla
63
Voted
ICCV
2005
IEEE
15 years 11 months ago
Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation
A wide range of low level vision problems have been formulated in terms of finding the most probable assignment of a Markov Random Field (or equivalently the lowest energy configu...
Talya Meltzer, Chen Yanover, Yair Weiss
71
Voted
SIGIR
2008
ACM
14 years 9 months ago
A comparative evaluation of different link types on enhancing document clustering
With a growing number of works utilizing link information in enhancing document clustering, it becomes necessary to make a comparative evaluation of the impacts of different link ...
Xiaodan Zhang, Xiaohua Hu, Xiaohua Zhou
ICASSP
2011
IEEE
14 years 1 months ago
A revisit to MRF-based depth map super-resolution and enhancement
This paper presents a Markov Random Field (MRF)-based approach for depth map super-resolution and enhancement. Given a low-resolution or moderate quality depth map, we study the p...
Jiangbo Lu, Dongbo Min, Ramanpreet Singh Pahwa, Mi...
ECCV
2008
Springer
15 years 8 months ago
Toward Global Minimum through Combined Local Minima
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee