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| Presentation | 2016-11-17 14:00 Gaussian Markov random field model without periodic boundary conditions Shun Katakami, Hirotaka Sakamoto, Shin Murata, Masato Okada (UTokyo)  IBISML2016-83 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we discuss Gaussian Markov random field model without periodic boundary conditions. First, we formulate a generative model and an estimation model of images without periodic boundary conditions by Markov random field model. Second, by applying Bayes’ theorem to the the estimation model, we explain image restorations, the estimation of hyperparameters, and the expectation of free energy. Third, we conduct numerical simulations to compare the method with a method which assume periodic boundary conditions. Finally, we verify the effectiveness of this method focusing on the difference between the generative and estimation models. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Markov random field model / Bayesian inference / hyperparameter estimation / image restoration / boundary condition / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 300, IBISML2016-83, pp. 267-274, Nov. 2016. | |
| Paper # | IBISML2016-83 | |
| Date of Issue | 2016-11-09 (IBISML) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | IBISML2016-83 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2016-11-16 - 2016-11-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information-Based Induction Science Workshop (IBIS2016) |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2016-11-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Gaussian Markov random field model without periodic boundary conditions |
| Sub Title (in English) | |
| Keyword(1) | Markov random field model |
| Keyword(2) | Bayesian inference |
| Keyword(3) | hyperparameter estimation |
| Keyword(4) | image restoration |
| Keyword(5) | boundary condition |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shun Katakami |
| 1st Author's Affiliation | The University of Tokyo (UTokyo) |
| 2nd Author's Name | Hirotaka Sakamoto |
| 2nd Author's Affiliation | The University of Tokyo (UTokyo) |
| 3rd Author's Name | Shin Murata |
| 3rd Author's Affiliation | The University of Tokyo (UTokyo) |
| 4th Author's Name | Masato Okada |
| 4th Author's Affiliation | The University of Tokyo (UTokyo) |
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| Speaker | Author-1 |
| Date Time | 2016-11-17 14:00:00 |
| Presentation Time | 180 minutes |
| Registration for | IBISML |
| Paper # | IBISML2016-83 |
| Volume (vol) | vol.116 |
| Number (no) | no.300 |
| Page | pp.267-274 |
| #Pages | 8 |
| Date of Issue | 2016-11-09 (IBISML) |
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