Presentation 2002/3/8
Experimental study for replacing statistics of posterior with propagated belief in the EM algorithm on lattice model
Akihiro MINAGAWA, Norio TAGAWA, Toshiyuki TANAKA,
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Abstract(in English) In this paper, we show results replacing the covariance of the posterior probability with the variance of the belief in the expectation maximization (EM) algorithm. We consider graphical models with hidden variables as Gaussian Markov random fields (GMRF) model, which is popular as a regularization term for solving ill-posed problem and/or for obtaining a smoothed solution of observed variables in the area of image recognition and pattern recognition. To solve this problem regarded as the maximum a posteriori (MAP) estimation, calculating the inverse covariance matrix with (number of pixels) × (number of pixels) is required, and it occurs enormous computational cost. Moreover, EM algorithm is commonly used for obtaining model parameters in the above area. For reducing the computational cost, we consider applying the belief obtained from BP scheme as an approximation of the posterior probability in the EM algorithm. We show some experimental results for estimator of model parameters in two different graphical models with GMRF.
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Keyword(in English) belief propagation / GMRF / MAP estimator / EM algorithm / MFA (mean field approximation)
Paper # PRMU2001-287
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Conference Information
Committee PRMU
Conference Date 2002/3/8(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Experimental study for replacing statistics of posterior with propagated belief in the EM algorithm on lattice model
Sub Title (in English)
Keyword(1) belief propagation
Keyword(2) GMRF
Keyword(3) MAP estimator
Keyword(4) EM algorithm
Keyword(5) MFA (mean field approximation)
1st Author's Name Akihiro MINAGAWA
1st Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University()
2nd Author's Name Norio TAGAWA
2nd Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University
3rd Author's Name Toshiyuki TANAKA
3rd Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University
Date 2002/3/8
Paper # PRMU2001-287
Volume (vol) vol.101
Number (no) 713
Page pp.pp.-
#Pages 8
Date of Issue