IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 19 of 19  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, NC
(Joint)
2020-01-25
14:10
Okinawa Miyakojima Marine Terminal Statistical-mechanical analysis of the dynamic behavior of adaptive Volterra filter
Kimiko Motonaka, Tomoya Koseki, Yoshinobu Kajikawa, Seiji Miyoshi (Kansai Univ.) NC2019-73
 [more] NC2019-73
pp.77-82
MBE, NC
(Joint)
2017-10-07
16:05
Osaka Osaka Electro-Communication University Investigation on spectral decomposition using multiple data sets and exchange Monte Carlo
Kimiko Motonaka, Seiji Miyoshi (Kansai Univ.) NC2017-24
 [more] NC2017-24
pp.25-30
SIP 2014-08-28
15:30
Osaka Ritsumeikan Univ. (Osaka Umeda Campus) [Tutorial Lecture] Statistical-Mechanical Approach to Signal Processing
Seiji Miyoshi (Kansai Univ.) SIP2014-78
Statistical mechanics, which is a branch of physics, was constructed with the aim of understanding the macroscopic prope... [more] SIP2014-78
p.29
IBISML 2013-11-13
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Statistical-mechanical analysis of active noise control
Rei Fujiwara, Yoshinobu Kajikawa, Seiji Miyoshi (Kansai Univ.) IBISML2013-65
We analyze the dynamical behaviors (learning curves) of
the active noise control using a statistical-method.
Cross-co... [more]
IBISML2013-65
pp.219-224
DC, CPSY
(Joint)
2013-08-02
17:00
Fukuoka Kitakyushu-Kokusai-Kaigijyo Design of Variable Stages Pipeline Processor on Superscalar Processor
Tomoyuki Nakabayashi, Seiji Miyoshi, Takahiro Sasaki, Toshio Kondo (Mie Univ.) CPSY2013-27
This paper designs a high performance and low energy superscalar processor using variable stages pipeline (VSP) techniqu... [more] CPSY2013-27
pp.103-108
IBISML 2012-11-07
15:30
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Bayesian image super-resolution of large image with a compound MRF and estimating registration parameters
Toshiki Kinoshita, Seiji Miyoshi (Kansai Univ.) IBISML2012-35
Super-resolution is a technique to estimate a higher resolution image from low-resolution images. In this manuscript, we... [more] IBISML2012-35
pp.9-16
IBISML 2012-11-08
15:00
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Replica analysis of CDMA multiuser detection with M-ary phase-shift keying
Hiroyuki Kato (Kansai Univ.), Masato Okada (Univ. of Tokyo/RIKEN), Seiji Miyoshi (Kansai Univ.) IBISML2012-85
Code Division Multiple Access (CDMA) is a technique for multiple access, and used for mobile phone,satellite communicati... [more] IBISML2012-85
pp.367-372
EA, SP, SIP 2012-05-24
13:20
Osaka Osaka Univ. Nakanoshima Center Statistical mechanical of the FXLMS algorithm and its accuracy
Seiji Miyoshi, Yoshinobu Kajikawa (Kansai Univ.) EA2012-10 SIP2012-10 SP2012-10
We analyze the dynamical behaviors (learning curves) of active noise control with FXLMS algorithm using statistical mech... [more] EA2012-10 SIP2012-10 SP2012-10
pp.53-58
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 2011-07-25
14:50
Hyogo Graduate School of Engineering, Kobe University Statistical Mechanical Analysis of Adaptive Filter
Seiji Miyoshi, Yoshinobu Kajikawa (Kansai Univ.) NC2011-27
 [more] NC2011-27
pp.37-42
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
MSS, CAS, VLD, SIP 2011-06-30
10:00
Okinawa Okinawa-Ken-Seinen-Kaikan Statistical Mechanical Analysis of the Filtered-X LMS Algorithm (II)
Seiji Miyoshi, Yoshinobu Kajikawa (Kansai Univ.) CAS2011-4 VLD2011-11 SIP2011-33 MSS2011-4
We analyze the dynamical behaviors (learning curves) of active noise control with Filtered-X LMS algorithm using statist... [more] CAS2011-4 VLD2011-11 SIP2011-33 MSS2011-4
pp.19-24
IBISML 2011-06-21
10:30
Tokyo Takeda Hall Statistical Mechanical Analysis of Adaptive Signal Processing
Seiji Miyoshi, Yoshinobu Kajikawa (Kansai Univ.) IBISML2011-3
 [more] IBISML2011-3
pp.15-20
EA, SIP, SP 2011-05-13
10:00
Osaka Ritsumeikan Univ. Statistical Mechanical Analysis of the Filtered-X LMS Algorithm
Seiji Miyoshi, Kazuya Matsuo, Yoshinobu Kajikawa (Kansai Univ.) EA2011-17 SIP2011-17 SP2011-17
 [more] EA2011-17 SIP2011-17 SP2011-17
pp.95-100
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
IBISML 2010-11-05
15:30
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Statistical mechanics of on-line learning using correlated examples
Kento Nakao (Kansai Univ.), Yuuta Narukawa (Daihen), Seiji Miyoshi (Kansai Univ.) IBISML2010-91
We consider a model composed of nonlinear perceptrons and analytically investigate the generalization performance of lea... [more] IBISML2010-91
pp.239-244
IBISML 2010-11-05
15:30
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Statistical Mechanics of Adaptive Weight Perturbation Learning
Ryousuke Miyoshi, Yutaka Maeda, Seiji Miyoshi (Kansai Univ.) IBISML2010-92
The weight perturbation learning was proposed as a learning rule which adds perturbation to the variable parameters of ... [more] IBISML2010-92
pp.245-250
NC 2008-11-08
15:30
Saga Saga Univ. Statistical Mechanics of Partial Annealing -- Mexican-hat-type interaction case --
Kazuyuki Hara (Tokyo Metro. College), Tatsuya Uezu (Nara Women's Univ.), Seiji Miyoshi (Kansai Univ.), Masato Okada (Tokyo Univ.) NC2008-72
We analyzed the equilibrium states of an Ising spin neural network model
in which both spins and interactions evolve s... [more]
NC2008-72
pp.79-83
 Results 1 - 19 of 19  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
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)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan