Effective Bayesian inference by data-driven Markov chain Monte Carlo for object recognition and image segmentation

Mapping Intimacies ◽

10.1117/12.395578 ◽

2000 ◽

Cited By ~ 1

Author(s):

Song-Chun Zhu ◽

Zhuowen Tu ◽

Rong Zhang

Keyword(s):

Monte Carlo ◽

Image Segmentation ◽

Markov Chain ◽

Object Recognition ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Data Driven

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Image segmentation by data driven Markov chain Monte Carlo

Proceedings Eighth IEEE International Conference on Computer Vision ICCV 2001 ICCV-01 ◽

10.1109/iccv.2001.937614 ◽

2002 ◽

Cited By ~ 4

Author(s):

Zhuowen Tu ◽

Song-Chun Zhu ◽

Heung-Yeung Shum

Keyword(s):

Monte Carlo ◽

Image Segmentation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Data Driven

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Integrating bottom-up/top-down for object recognition by data driven Markov chain Monte Carlo

Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662) ◽

10.1109/cvpr.2000.855894 ◽

2002 ◽

Cited By ~ 3

Author(s):

Song-Chun Zhu ◽

Rong Zhang ◽

Zhuowen Tu

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Object Recognition ◽

Markov Chain Monte Carlo ◽

Data Driven ◽

Top Down ◽

Bottom Up

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Image segmentation by data-driven markov chain monte carlo

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/34.1000239 ◽

2002 ◽

Vol 24 (5) ◽

pp. 657-673 ◽

Cited By ~ 313

Author(s):

Zhuowen Tu ◽

Song-Chun Zhu

Keyword(s):

Monte Carlo ◽

Image Segmentation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Data Driven

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Automated Sensitivity Analysis for Bayesian Inference via Markov Chain Monte Carlo: Applications to Gibbs Sampling

SSRN Electronic Journal ◽

10.2139/ssrn.2984054 ◽

2018 ◽

Cited By ~ 3

Author(s):

Liana Jacobi ◽

Mark Joshi ◽

Dan Zhu

Keyword(s):

Sensitivity Analysis ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Gibbs Sampling

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Markov Chain Monte Carlo: stochastic simulation for Bayesian inference (2nd edn). Dani Gamerman and Hedibert F. Lopes, Chapman & Hall/CRC, Boca Raton, FL, 2006. No. of pages: xvii +323. Price: $69.95. ISBN10: 1‐58488‐587‐4, ISBN13: 978‐1‐58488‐587‐0

Statistics in Medicine ◽

10.1002/sim.3240 ◽

2008 ◽

Vol 27 (16) ◽

pp. 3213-3214

Author(s):

Gareth Peters

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Stochastic Simulation

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Bayesian inference of preferential seepage path by gradient-based Markov Chain Monte Carlo

Japanese Geotechnical Society Special Publication ◽

10.3208/jgssp.v08.j44 ◽

2020 ◽

Vol 8 (3) ◽

pp. 59-63

Author(s):

Kazunori Fujisawa ◽

Michael Koch ◽

Akira Murakami

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Gradient Based

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Bayesian inference along Markov Chain Monte Carlo approach for PWR core loading pattern optimization

Annals of Nuclear Energy ◽

10.1016/j.anucene.2012.07.012 ◽

2012 ◽

Vol 50 ◽

pp. 150-157 ◽

Cited By ~ 1

Author(s):

A. Haghighattalab ◽

A. Minuchehr ◽

A. Zolfaghari ◽

F. Khoshahval

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Monte Carlo Approach ◽

Loading Pattern

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Adaptive Markov chain Monte Carlo algorithms for Bayesian inference: recent advances and comparative study

Structure and Infrastructure Engineering ◽

10.1080/15732479.2019.1628077 ◽

2019 ◽

Vol 15 (11) ◽

pp. 1548-1565 ◽

Cited By ~ 1

Author(s):

Seung-Seop Jin ◽

Heekun Ju ◽

Hyung-Jo Jung

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Comparative Study ◽

Monte Carlo Algorithms ◽

Recent Advances

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River water quality modelling and simulation based on Markov Chain Monte Carlo computation and Bayesian inference model

African Journal of Science Technology Innovation and Development ◽

10.1080/20421338.2019.1692460 ◽

2020 ◽

Vol 12 (6) ◽

pp. 771-785 ◽

Cited By ~ 1

Author(s):

Mrunmayee Manjari Sahoo ◽

Kanhu Charan Patra

Keyword(s):

Water Quality ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Water Quality Modelling ◽

Inference Model ◽

Monte Carlo Computation ◽

Simulation Based ◽

River Water Quality Modelling

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Bayesian Inference and Markov Chain Monte Carlo Methods

Construction Reliability ◽

10.1002/9781118601099.ch11 ◽

2013 ◽

pp. 207-226

Author(s):

Gilles Celeux

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Monte Carlo Methods

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