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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] | 2024-06-06 14:10 |
Niigata | Nigata University (Ekinan-Campus "TOKIMATE") | [more] | ||
| SRW, SeMI, CNR (Joint) |
2022-11-25 15:05 |
Tochigi | Epinard Nasu (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Energy-Efficient Over-the-Air Computation using Differential Data Transmission Control Go Fukuda, Seiji Miyoshi, Hiroyuki Yomo (Kansai Univ.)  SRW2022-32 SeMI2022-67 CNR2022-25 |
In this paper, we focus on AirComp (Over-the-Air Computation) in WSNs (Wireless Sensor Networks), in which the sensor no... [more] | SRW2022-32 SeMI2022-67 CNR2022-25 pp.52-53(SRW), pp.68-69(SeMI), pp.37-38(CNR) |
| 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 |
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