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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IT 2023-08-04
14:35
Kanagawa Shonan Institute of Technology
(Primary: On-site, Secondary: Online)
Performance Improvement of BP Decoding for Polar Codes through Factor Graph Permutation
Kohei Yoshida, Shan Lu, HIroshi Kamabe (Gifu Univ.) IT2023-29
Polar codes have high error correction capabilities and are used in the control channel of 5G.
There are several decodi... [more]
IT2023-29
pp.86-91
RCS, SIP, IT 2019-02-01
12:05
Osaka Osaka University Factor Graph Representation of Renormalization Group Decoding on Toric Codes
Takeshi Kakizaki, Kenta Kasai (Tokyo Tech) IT2018-64 SIP2018-94 RCS2018-271
We form a factor graph of renormalization group decoding on toric codes. Conventional decoder uses uni-directional sched... [more] IT2018-64 SIP2018-94 RCS2018-271
pp.167-172
IT, SIP, RCS 2017-01-19
15:45
Osaka Osaka City Univ. A Study on Low-Complexity MIMO Detection Based on Stochastic Generalized Belief Propagation
Akihide David Shigyo, Shogo Tanabe, Koji Ishibashi (Univ. of Electro-Communications) IT2016-75 SIP2016-113 RCS2016-265
As an efficient multi-input multi-output (MIMO) detection, a belief propagation (BP) has been actively studied. BP-based... [more] IT2016-75 SIP2016-113 RCS2016-265
pp.171-176
IBISML 2016-11-16
15:00
Kyoto Kyoto Univ. A study of message propagation algorithms for approximate MAP inference of large scale probabilistic models
Takashi Sano, Yuuji Ichisugi (AIST AIRC) IBISML2016-57
(To be available after the conference date) [more] IBISML2016-57
pp.81-86
RCS 2016-04-22
11:00
Aomori Romantopia, A Landscape of Forest and Stars, Hirosaki City A Study on Low-Complexity Belief Propagation Detection Using Sorted-QR Decomposition for Large MIMO Systems
Shogo Tanabe, Koji Ishibashi (The Univ. Electro-Commun.) RCS2016-15
In this paper, we propose a low-complexity signal detection for large multi-input multi-output (MIMO) systems with aroun... [more] RCS2016-15
pp.83-88
SIP 2014-08-28
14:40
Osaka Ritsumeikan Univ. (Osaka Umeda Campus) [Tutorial Lecture] Fundamentals of Spatial Couping and its Applications
Keigo Takeuchi (UEC) SIP2014-77
In spatially coupled factor graphs, the performance of iterative algorithms based on belief propagation is improved up t... [more] SIP2014-77
pp.27-28
NC, MBE
(Joint)
2011-03-09
11:05
Tokyo Tamagawa University Image restoration for computed tomography image with Bayesian approach
Junta Ueki, Hayaru Shouno (UEC) NC2010-189
When a doctor diagnose patient,a doctor use a computed tomography image.When we get computed tomography image,we expect ... [more] NC2010-189
pp.367-372
NC, MBE
(Joint)
2010-03-10
09:00
Tokyo Tamagawa University Inference of Alpha Rhythm Phase and Amplitude Using Belief Propagation on Markov Random Field Model
Yasushi Naruse (NICT), Ken Takiyama (Univ. of Tokyo.), Masato Okada (Univ. of Tokyo/RIKEN), Tsutomu Murata (NICT) NC2009-116
The alpha rhythm is a major component of spontaneous electroencephalographic data. We develop a novel method that can es... [more] NC2009-116
pp.167-172
PRMU, IE, MI 2009-05-28
11:00
Gifu Gifu Univ. Registraetion of Non-Rigit Surface in Medical Image Based on Probabilistic Estimation of Feature-Points' Locations
Wataru Watanabe, Hidekata Hontani (NITech), Tohoru Takeda (Tsukuba Univ.), Yorihisa Watanabe (Yamagata Saisei Hospital) IE2009-16 PRMU2009-7 MI2009-7
This article proposes a new method for registering a surface of an organ in a 3D medical image with a surface mesh model... [more] IE2009-16 PRMU2009-7 MI2009-7
pp.35-40
USN, MoNA
(Joint)
2009-01-22
09:10
Aichi Nagoya Institute of Technology (Auditorium) Sensor nodes localization using measurements of relative distances including outliers
Yuko Toshimitsu, Hidekata Hontani (Nagoya Institute of Tech.) USN2008-63
In this article, we propose a method for localizing sensor nodes, which include both static and mobile ones. For the loc... [more] USN2008-63
pp.13-18
NC 2009-01-20
14:40
Hokkaido Hokkaido Univ. Which model can properly describe dynamics and smoothness of firing rate?
Ken Takiyama (The Univ. of Tokyo), Kentaro Katahira, Masato Okada (The Univ. of Tokyo/RIKEN) NC2008-98
We construct the algorithm using belief propagation(BP), which algorithm simultaneously estimates
firing rate and calcu... [more]
NC2008-98
pp.89-94
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