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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IT, EMM | 2022-05-18 12:40 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
On Bayesian Approach for Classification of Context Tree Model Shota Saito (Gunma Univ.) |
This study deals with the Bayesian classification problem, which was investigated by Merhav and Ziv [IEEE Trans. Inf. Th... [more] | IT2022-11 EMM2022-11 pp.56-60 |
| IBISML | 2022-03-08 11:20 |
Online | Online | Tree-Structured Generative Model with Latent Variables and Approximate Variational Bayesian Inference Naoki Ichijo, Yuta Nakahara (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) |
[more] | IBISML2021-33 pp.19-26 |
| RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] | 2022-01-24 09:55 |
Online | Online | Study on Reverse Converters for RNS moduli set {2^k,2^n+1,2^n-1} using Signed-Digit numbers Takahiro Morii, Yuuki Tanaka, Shugang Wei (Gunma Univ.)  VLD2021-50 CPSY2021-19 RECONF2021-58 |
In this study, we propose reverse converters for moduli set ${2^k,2^n+1,2^n-1}$ that convert residue number system to we... [more] | VLD2021-50 CPSY2021-19 RECONF2021-58 pp.7-12 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 09:50 |
Online | Online | Analog-circuit design of STDP learning rule with linear decay and its LSI implementation Satoshi Moriya, Tatsuki Kato (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Hideaki Yamamoto, Shigeo Sato, Yoshihiko Horio (Tohoku Univ.) NC2021-40 |
Spiking neural networks (SNNs) are expected to be the next generation of information processing technology to reduce the... [more] | NC2021-40 p.44 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 10:15 |
Online | Online | Analog CMOS implementation of majority logic for neuromorphic circuit applications Satoshi Ono, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato (Tohoku Univ.) NC2021-41 |
A majority logic circuit is a circuit whose output is the majority value of multiple binary inputs. In addition to its c... [more] | NC2021-41 pp.45-48 |
| RCS, SIP, IT | 2022-01-21 09:00 |
Online | Online | An Approximation by Meta-Tree Boosting Method to Bayesian Optimal Prediction for Decision Tree Model Wenbin Yu, Koki Kazama, Yuta Nakahara, Naoki Ichijo (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-67 SIP2021-75 RCS2021-235 |
[more] | IT2021-67 SIP2021-75 RCS2021-235 pp.219-224 |
| RCS, SIP, IT | 2022-01-21 13:55 |
Online | Online | Meta-Bound for Lower Bounds of Bayes Risk Shota Saito (Gunma Univ.) IT2021-82 SIP2021-90 RCS2021-250 |
In the parameter estimation problem of statistics and machine learning, information-theoretic lower bounds of the Bayes ... [more] | IT2021-82 SIP2021-90 RCS2021-250 pp.301-305 |
| IBISML | 2022-01-18 15:20 |
Online | Online | Determining the number of clusters using the shrinking maximum likelihood self-organizing map Ryosuke Motegi, Yoichi Seki (Gunma Univ.) IBISML2021-29 |
Determining the number of clusters is one of the major challenges in clustering. The conventional method, such as the Ex... [more] | IBISML2021-29 pp.81-87 |
| WBS, RCC, ITS | 2021-12-13 09:00 |
Online | Online | [Poster Presentation]
Ego-vehicle speed and obstacle estimation using millimeter-wave radar Keiji Jimi, Takeki Ogitsu (Gunma Univ.) WBS2021-35 ITS2021-9 RCC2021-42 |
In this paper, we propose an improvement for ego-vehicle speed estimation with in-vehicle millimeter wave radar and disc... [more] | WBS2021-35 ITS2021-9 RCC2021-42 pp.7-12 |
| COMP | 2021-12-03 16:00 |
Ishikawa | Kanazawa Chamber of Commerce and Industry (Primary: On-site, Secondary: Online) |
Lower bounds for the total stopping time of 3x+ 1iterates revisited Kazuyuki Amano (Gunma Univ.) COMP2021-29 |
Let $T: mathbb{N} rightarrow mathbb{N}$ be the $3x+1$ function defined by $T(n) = n/2$ if $n$ is even and $T(n) = (3n+1... [more] |
COMP2021-29 pp.40-43 |
| IT | 2021-07-09 13:00 |
Online | Online | Bayesian Optimal Prediction and Its Approximation Algorithm for the Difference of Response Variables with and without Measures Considering Individual Differences by Assuming Latent Clusters Taisuke Ishiwatari (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-23 |
In observational studies, there are problems such as "the measure can be given only once to the target" and "the charact... [more] | IT2021-23 pp.45-50 |
| IT | 2021-07-09 13:25 |
Online | Online | A Note on the Reduction of Computational Complexity for Linear Regression Model Including Cluster Explanatory Variables and Regression Explanatory Variables
-- Bayes Optimal Prediction and Sub-Optimal Algorithm -- Sho Kayama (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-24 |
By considering the probability model with the structure that the data is divided into clusters and each cluster has an i... [more] | IT2021-24 pp.51-56 |
| NLC, IPSJ-ICS | 2021-07-02 15:15 |
Online | Online | Analysis on Geographic Bias in Private Graphs on Twitter towards SNS Marketing Applications Takeshi Sakaki (Hottolink), Shogo Matsuno (Gunma Univ.), Yasuhiro Hino (Hottolink) NLC2021-5 |
In marketing, consumers with high homogeneity have been regarded as a cluster, and the cluster has been used to target a... [more] | NLC2021-5 pp.25-30 |
| WBS, IT, ISEC | 2021-03-05 10:55 |
Online | Online | Vehicle Speed and Driving Distance Estimation using Millimeter-wave Radar Keiji Jimi, Takeki Ogitsu (Gunma Univ.) IT2020-141 ISEC2020-71 WBS2020-60 |
In the autonomous vehicle technology, the stable localization is required for safety driving. GNSS, LIDAR and Image sens... [more] | IT2020-141 ISEC2020-71 WBS2020-60 pp.176-180 |
| CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] | 2021-01-25 16:20 |
Online | Online | Residual signed-digit number - residual binary number conversion algorithm Yuki Saba, Yuuki Tanaka, Shugang Wei (Gunma Univ.) VLD2020-51 CPSY2020-34 RECONF2020-70 |
By applying SD(Signed-Digit) number representation, redundant residue number representation including negative number ca... [more] | VLD2020-51 CPSY2020-34 RECONF2020-70 pp.69-74 |
| CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] | 2021-01-25 17:35 |
Online | Online | High speed architectures of decimal counters Shuhei Yanagawa, Yuuki Tanaka, Shugang Wei (Gunma Univ.) VLD2020-54 CPSY2020-37 RECONF2020-73 |
In this study, we propose new architectures for high speed decimal counters. The two kinds of counters are designed usin... [more] | VLD2020-54 CPSY2020-37 RECONF2020-73 pp.85-89 |
| ET | 2021-01-23 14:50 |
Online | Online | Development and practice of ICT teaching materials to support children's understanding
-- How to support to learn elapsed time -- Yuki Nakano, Tetsuya Shimizu, Koichi Yamazaki (Gunma Univ.) ET2020-50 |
In elementary schools, education using ICT teaching materials is required to develop Information and Computer Literacy. ... [more] | ET2020-50 pp.23-28 |
| CPM | 2020-10-29 15:30 |
Online | Online | Characterization of Photocatalytic Gold-Doped Tantalum Pentoxide Thin Films Prepared Using a Simple Co-Sputtering Method Kai Ito, Yuya Hashimoto, Kenta Miura, Katsuya Noguchi, Wataru Kada, Osamu Hanaizumi (Gunma Univ.) CPM2020-18 |
Gold-doped tantalum pentoxide (Ta2O5:Au) thin films were deposited using a co-sputtering method. From a transmission spe... [more] | CPM2020-18 pp.27-30 |
| EMCJ, EMD, WPT (Joint) [detail] |
2020-07-03 13:05 |
Online | Online | Circuit Modeling of Wireless Power Transfer System Considering Scattering from Perfect Conductor Nozomi Haga (Gunma Univ.), Jerdvisanop Chakarothai (NICT), Keisuke Konno (Tohoku Univ.) WPT2020-15 |
The impedance expansion method (IEM) is a circuit-modeling technique for electrically small devices based on the method ... [more] | WPT2020-15 pp.1-6 |
| ET | 2020-01-25 13:25 |
Wakayama | Wakayama JA Building | Development and Practice of Software to Support Subjects in Lower Grades of Elementary School Tetsuya Shimizu, Koichi Yamazaki (Gunma Univ.) ET2019-73 |
With the spread of information and communication technology (ICT for short), the use of ICT in course instruction has be... [more] | ET2019-73 pp.21-26 |
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