Presentation | 2012-12-12 Distribution estimation of hyperparameters in Markov random field model Yoshinori Ohno, Kenji Nagata, Hayaru Shouno, Masato Okada, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recent advances in measurement techniques allow us to obtain a large quantity of imaging data in various natural science fields. These data can be analyzed by Markov random field (MRF) models which have made progress in information science. We can estimate hyperparameters in our MRF model, which is a probabilistic one, by the framework of Bayesian inference. When our MRF model is applied to diffusion systems which often appear in the natural sciences, a hyperparameter is an important parameter which corresponds to the diffusion coefficient. Thus, in this study, we calculate not only a point estimate but also a distribution estimate of hyperparameters to evaluate estimation reliability. Besides, we discuss the dependence of estimation accuracy and reliability on the number of pixels in imaging data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Markov random field model / hyperparameter / distribution estimation |
Paper # | NC2012-86 |
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Committee | NC |
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Conference Date | 2012/12/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Distribution estimation of hyperparameters in Markov random field model |
Sub Title (in English) | |
Keyword(1) | Markov random field model |
Keyword(2) | hyperparameter |
Keyword(3) | distribution estimation |
1st Author's Name | Yoshinori Ohno |
1st Author's Affiliation | The University of Tokyo() |
2nd Author's Name | Kenji Nagata |
2nd Author's Affiliation | The University of Tokyo |
3rd Author's Name | Hayaru Shouno |
3rd Author's Affiliation | The University of Electro-Communications |
4th Author's Name | Masato Okada |
4th Author's Affiliation | The University of Tokyo/RIKEN |
Date | 2012-12-12 |
Paper # | NC2012-86 |
Volume (vol) | vol.112 |
Number (no) | 345 |
Page | pp.pp.- |
#Pages | 6 |
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