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» Global Connectivity Potentials for Random Field Models
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ICCV
2009
IEEE
15 years 1 months ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...
ATAL
2007
Springer
14 years 2 months ago
Emergence of global network property based on multi-agent voting model
Recent studies have shown that various models can explain the emergence of complex networks, such as scale-free and small-world networks. This paper presents a different model to...
Kousuke Shinoda, Yutaka Matsuo, Hideyuki Nakashima
ECCV
2008
Springer
14 years 6 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
INFOCOM
2011
IEEE
12 years 12 months ago
Connected coverage in wireless networks with directional antennas
—In this paper, we address a new unexplored problem - what are the optimal patterns to achieve connected coverage in wireless networks with directional antennas. As their name im...
Zuoming Yu, Jin Teng, Xiaole Bai, Dong Xuan, Weiji...

Publication
222views
15 years 8 months ago
Quantitative Description of Spatially Homogeneous Textures by Characteristic Grey Level Co-Occurrences
Gibbs random eld model with multiple pairwise pixel interactions describes each type of spatially homogeneous image textures in terms of a pixel neighbourhood and Gibbs potentials...
Georgy Gimel'farb