A globally convergent mean-field inference method in dense Markov random fields

2016 31st Youth Academic Annual Conference of Chinese Association of Automation (YAC) ◽

10.1109/yac.2016.7804902 ◽

2016 ◽

Author(s):

Hao Sun ◽

Xianqiang Yang

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Inference Method ◽

Globally Convergent ◽

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The Mean Field Theory In EM Procedures For Markov Random Fields

Proceedings of the Seventh Workshop on Multidimensional Signal Processing ◽

10.1109/mdsp.1991.639423 ◽

2005 ◽

Author(s):

Jun Zhang

Keyword(s):

Field Theory ◽

Random Fields ◽

Markov Random Fields ◽

Mean Field Theory ◽

Markov Random ◽

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Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random Fields

IEEE Transactions on Image Processing ◽

10.1109/tip.2006.891045 ◽

2007 ◽

Vol 16 (3) ◽

pp. 824-837 ◽

Author(s):

Florence Forbes ◽

Gersende Fort

Keyword(s):

Monte Carlo ◽

Random Fields ◽

Markov Random Fields ◽

Hidden Markov ◽

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Mean field annealing using compound Gauss-Markov random fields for edge detection and image estimation

IEEE Transactions on Neural Networks ◽

10.1109/72.238324 ◽

1993 ◽

Vol 4 (4) ◽

pp. 703-709 ◽

Author(s):

J. Zerubia ◽

R. Chellappa

Keyword(s):

Edge Detection ◽

Random Fields ◽

Markov Random Fields ◽

Image Estimation ◽

Markov Random ◽

Field Annealing ◽

Gauss Markov Random Fields

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Variational phasor mean field model for Markov random fields

10.1109/isspa.2007.4555531 ◽

2007 ◽

Author(s):

Haruhisa Takahashi

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Field Model ◽

Mean Field Model ◽

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The application of the Gibbs-Bogoliubov-Feynman inequality in mean field calculations for Markov random fields

IEEE Transactions on Image Processing ◽

10.1109/83.502411 ◽

1996 ◽

Vol 5 (7) ◽

pp. 1208-1214 ◽

Author(s):

Jun Zhang

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

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The mean field theory in EM procedures for Markov random fields

IEEE Transactions on Signal Processing ◽

10.1109/78.157297 ◽

1992 ◽

Vol 40 (10) ◽

pp. 2570-2583 ◽

Author(s):

J. Zhang

Keyword(s):

Field Theory ◽

Random Fields ◽

Markov Random Fields ◽

Mean Field Theory ◽

Markov Random ◽

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the Mean Field Theory in EM Procedures for Markov Random Fields

Proceedings. 1991 IEEE International Symposium on Information Theory ◽

10.1109/isit.1991.695223 ◽

2005 ◽

Author(s):

Jun Zhang ◽

J.W. Modestino

Keyword(s):

Field Theory ◽

Random Fields ◽

Markov Random Fields ◽

Mean Field Theory ◽

Markov Random ◽

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Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation

Neural Networks ◽

10.1016/j.neunet.2020.03.003 ◽

2020 ◽

Vol 126 ◽

pp. 42-51 ◽

Author(s):

Yajing Zheng ◽

Shanshan Jia ◽

Zhaofei Yu ◽

Tiejun Huang ◽

Jian K. Liu ◽

...

Keyword(s):

Neural Networks ◽

Random Fields ◽

Markov Random Fields ◽

Probabilistic Inference ◽

Field Approximation ◽

Spiking Neural Networks ◽

Mean Field Approximation ◽

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Multi-Grid Methods for Mean Field Theory in Em Procedures for Markov Random Fields

Proceedings. IEEE International Symposium on Information Theory ◽

10.1109/isit.1993.748407 ◽

2005 ◽

Author(s):

Jun Zhang ◽

Binglai Chen

Keyword(s):

Field Theory ◽

Random Fields ◽

Markov Random Fields ◽

Mean Field Theory ◽

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Application of the Gibbs-Bogoliubov-Feynman inequality in mean field calculations for Markov random fields

10.1117/12.186042 ◽

1994 ◽

Author(s):

Jun Zhang

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

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