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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Efficient Method for Computing Belief Propagation, with Application to CDMA Multiuser Detection
Arise Kuriya, Toshiyuki Tanaka (Kyoto Univ) IBISML2014-54
Pearl's belief propagation (BP) is an algorithm to solve
inference problems on probability models defined in terms of
... [more]
IBISML2014-54
pp.149-153
AP, RCS
(Joint)
2014-11-12
15:00
Yamagata Yamagata University, Yonezawa Campus A Study of Channel Equalization Using a Belief Propagation Algorithm
Masatomo Sugita, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.) RCS2014-203
Frequency-domain equalization is well known as a countermeasure for inter-symbol interference in a single carrier transm... [more] RCS2014-203
pp.37-42
IT 2012-09-28
14:25
Gunma Kusatsu Seminar House Message Passing Algorithm with MAP Decoding on Zigzag Cycles for Non-binary LDPC Codes
Takayuki Nozaki, Kenta Kasai, Kohichi Sakaniwa (Tokyo Inst. of Tech.) IT2012-44
In this paper, we propose a decoding algorithm which lowers decoding erasure rates in the error floor regions for non-bi... [more] IT2012-44
pp.75-80
MI 2011-01-20
10:45
Okinawa Naha-Bunka-Tembusu Comparison of the Registration Performance between MCMC-based method and Belief Propagation-based one
Yoshihide Sawada, Wataru Watanabe, Hidekata Hontani (NIT) MI2010-90
Both Markov chain Monte Carlo (MCMC) and belief propagation (BP) are widely used for inferring posterior distributions o... [more] MI2010-90
pp.51-56
PRMU, HIP 2010-03-15
17:55
Kagoshima Kagoshima Univ. Real-Time Image Denoising based on Discrete Optimization on FPGA
Masaki Higashitani, Toshikazu Wada (Wakayama Univ.) PRMU2009-275 HIP2009-160
Belief Propagation (BP) is an effective method for removing granular noise, which appears in insufficiently exposed imag... [more] PRMU2009-275 HIP2009-160
pp.247-252
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
NC, MBE
(Joint)
2008-03-12
16:30
Tokyo Tamagawa Univ An Extension of CCCP Algorithm for Bethe Free Energy
Yu Nishiyama, Sumio Watanabe (Tokyo Inst. of Tech.) NC2007-126
Belief Propagation (BP) is an efficient algorithm for computing marginal probabilities of a high-dimensional probability... [more] NC2007-126
pp.85-90
NC 2008-01-15
13:30
Hokkaido Centennial Hall, Hokkaido Univ. Analytical and Numerical Solutions of Bethe Approximation in Normal Distributions
Yu Nishiyama, Sumio Watanabe (Tokyo Inst. Tech.) NC2007-87
For the calculation of marginal distributions, which require the huge computational cost, the algorithm called belief pr... [more] NC2007-87
pp.1-6
WBS 2007-12-18
16:50
Tokyo   EXIT analysis of iterative algorithm for CDMA multiuser detection problem
Takashi Ikehara, Toshiyuki Tanaka (Kyoto Univ.) WBS2007-58
We derive EXIT functions and perform EXIT analysis
for a belief-propagation (BP) based CDMA detection algorithm under t... [more]
WBS2007-58
pp.65-70
NC 2007-05-21
16:00
Kanagawa Tokyo Inst. Tech.(Suzukakedai Campus) Theoretical Analysis of Accuracy of Belief Propagation in Gaussian Models
Yu Nishiyama, Sumio Watanabe (Tokyo Inst. of Tech.) NC2007-6
Belief propagation (BP) is an algorithm which can compute marginal probability distributions with a tractable computatio... [more] NC2007-6
pp.23-28
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