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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2011-11-10
15:45		 Nara Nara Womens Univ. Image Segmentation and Restoration using Switching State-Space Model and Variational Bayesian Method
Ryota Hasegawa (Kansai Univ.), Ken Takiyama, Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.) IBISML2011-67		 We derive a deterministic algorithm that restores and segments image using switching state-space model and variational B... [more] IBISML2011-67
pp.169-174
IBISML 2011-11-10
15:45		 Nara Nara Womens Univ. Image segmentation and restoration by variational Bayesian method and MCMC
Kenta Kayano (Kansai Univ.), Kenji Nagata, Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.) IBISML2011-68		 In this paper, we derive a deterministic algorithm that restores and segments an image by using variational Bayesian met... [more] IBISML2011-68
pp.175-180
NC 2011-07-26
11:00		 Hyogo Graduate School of Engineering, Kobe University Image Segmentation and Restoration using Region-Based Hidden Variables and Belief Propagation
Ryota Hasegawa (Kansai Univ.), Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.) NC2011-35		 We derive a deterministic algorithm that restores and segments an image using belief propagation and a variational Bayes... [more] NC2011-35
pp.81-86
IBISML 2010-11-04
15:00		 Tokyo IIS, Univ. of Tokyo [Poster Presentation] Image Segmentation by Region-Based Latent Variables and Belief Propagation
Ryota Hasegawa, Seiji Miyoshi (Kansai Univ.), Masato Okada (Univ. of Tokyo) IBISML2010-71		 To represent edges in image processing based on Bayesian inference, it is very effective to introduce latent variables. ... [more] IBISML2010-71
pp.91-97
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