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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCC, ISEC, IT, WBS | 2024-03-14 17:00 |
Osaka | Osaka Univ. (Suita Campus) | Comparison of Scale Parameter Dependence of Estimation Performance in Sparse Bayesian Linear Regression Model with Variance Gamma Prior Distribution and t-Prior Distribution Kazuaki Murayama (UEC)  IT2023-135 ISEC2023-134 WBS2023-123 RCC2023-117 |
In the sparse estimation with linear regression model, the variance gamma distribution and t-distribution can be used as... [more] | IT2023-135 ISEC2023-134 WBS2023-123 RCC2023-117 pp.374-379 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 10:30 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Informative Path Planning in Dynamic Environments Using Spatio-Temporal Gaussian Process Regression Gao Tian, Techasarntikul Nattaon, Ohsita Yuichi, Shimonishi Hideyuki (Osaka Univ.) CQ2023-80 |
With the rapid advancement of automation technology, the role of autonomous robots in environmental monitoring and explo... [more] | CQ2023-80 pp.56-61 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 11:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Evaluation of Effect of Scatterer Shape on Incident Sound Field Estimation Based on Kernel Interpolation Shihori Kozuka (NTT), Shoichi Koyama (NII), Hiroaki Itou, Noriyoshi Kamado (NTT) EA2023-69 SIP2023-116 SP2023-51 |
Techniques for estimating the incident sound field using multiple microphones are effective for spatial sound field cont... [more] | EA2023-69 SIP2023-116 SP2023-51 pp.51-56 |
| VLD, HWS, ICD | 2024-03-01 14:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Modeling of Thin-Film Ferroelectric Memcapacitors Based on Gaussian Process Regression and its evaluation Ryoga Urata (KIT), Taiyo Shinoda, Mutsumi Kimura (Ryukoku Univ.), Michihiro Shintani (KIT) VLD2023-128 HWS2023-88 ICD2023-117 |
Ferroelectric memcapacitors using thin-film materials are attracting attention as a circuit element that can realize sum... [more] | VLD2023-128 HWS2023-88 ICD2023-117 pp.151-156 |
| SS, MSS | 2024-01-17 16:00 |
Ishikawa | (Primary: On-site, Secondary: Online) |
Linear Regression Analysis of the Fuel Cost Factors of The Concurrent Hydro-Thermal Corporation System Ichiro Toyoshima (Toshiba ESS), Tomoki Takeuchi, Ryoichi Hara (Hokkaido Univ.), Ryohei Momokawa (Toshiba ESS), Hiroyuki Kita (Hokkaido Univ.) MSS2023-58 SS2023-37 |
In making a generation schedule, hydropower has played a central role in the power system. It is one of the effective wa... [more] | MSS2023-58 SS2023-37 pp.35-39 |
| QIT (2nd) |
2023-12-19 10:45 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Quantum annealing with continuous variables for linear regression Asuka Koura (Chuo Univ), Takashi Imoto, Katsuki Ura (AIST), Yuichiro Matsuzaki (Chuo Univ) |
Linear regression is a supervised learning method that uses known data values to predict unknown data, and it is a type... [more] |
|
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Reducing Quantum Communication Complexity of Linear Regression Sayaki Matsushita (Nagoya) |
Quantum coordinator model is a model that has a referee and multiple parties that can only communicate with the referee.... [more] | |
| SANE | 2023-12-08 13:50 |
Overseas | Surakarta, Indonesia (Primary: On-site, Secondary: Online) |
Finger Position Detection Using Multitask Gaussian Process Regression on Noncontact Control Panels Takayuki Kitamura, Shingo Yamaura, Kengo Nishimoto, Tadashi Oshima (MELCO) SANE2023-81 |
In recent years, the development of transparent antennas for fifth-generation mobile communication systems has progresse... [more] | SANE2023-81 pp.116-121 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-16 16:50 |
Tottori | (Primary: On-site, Secondary: Online) |
Flood forecasting in Matsue City using statistical methods Kazuki Yamamoto, Hitoshi Sakano, Hiroshi Yajima (Shimane Univ.) PRMU2023-23 |
In this study, we applied a statistical modeling approach to flood forecasting in rivers within Matsue City, examining a... [more] | PRMU2023-23 pp.43-46 |
| SDM | 2023-11-10 14:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Examination of high high-precision device modeling methods
-- Comparison of Neural Networks and Linear Regression -- Kengo Nakata, Takayuki Mori, Jiro Ida (Kanazawa Inst. Tech.) SDM2023-71 |
Neural network (NN) models have the advantage of high inference speed, but they are difficult to modeling. For this reas... [more] | SDM2023-71 pp.36-40 |
| NS | 2023-10-04 18:20 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Development of a Fraud Detection Method Based on the Likelihood of Regression Models in Food Traceability Shion Yamada, Ishizuka Mirei, Ichitoshi Takehara, Takumi Kobayashi, Yuki Kami (Kagawa Univ.), Norihiko Kamata (NCOS), Koji Kida (Kagawa Univ.) NS2023-82 |
This study proposes an anti-falsification method for blockchain food traceability systems. Conventional fraud detection... [more] |
NS2023-82 pp.59-64 |
| IMQ, HIP | 2023-07-28 15:05 |
Hokkaido | Satellite Campus, Sapporo City University | Estimation of subjective fatigue level using heart rate variability and physical acceleration during indoor movement Yuuya Okazaki, Seiya Kawamata, Yuukou Horita (Univ.of Toyama) IMQ2023-5 HIP2023-44 |
Well-being is attracting increasing attention both in Japan and overseas as a term that expresses a state of mental, phy... [more] | IMQ2023-5 HIP2023-44 pp.9-14 |
| SeMI, RCS, RCC, NS, SR (Joint) |
2023-07-13 16:10 |
Osaka | Osaka University Nakanoshima Center + Online (Primary: On-site, Secondary: Online) |
[Short Paper]
Detection of Hidden Nodes Using Wireless LAN Sensing Data Hayato Mukasa, Fujii Takeo (UEC) SR2023-39 |
The Internet of Things (IoT) is attracting attention for monitoring the status of equipment in indoor environments such ... [more] | SR2023-39 pp.52-54 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-29 14:20 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Crystal structure X-ray absorption spectrum prediction and valence ratio estimation based on Gaussian process regression Takumi Iwashita, Haruki Hirai, Ryo Kobayashi, Tomoyuki Tamura, Masayuki Karasuyama (NIT) NC2023-3 IBISML2023-3 |
X-ray absorption spectra are known as a useful experimental measurement technique for crystal structure analysis. Spectr... [more] | NC2023-3 IBISML2023-3 pp.17-24 |
| SRW | 2023-06-12 11:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Channel Prediction for Overhead Reduction of Channel Estimation in IRS-Assisted Wireless Communication Systems Norisato Suga (ATR/SIT), Kazuto Yano (ATR), Yafei Hou (ATR/Okayama Univ.), Toshikazu Sakano (ATR) SRW2023-4 |
The use of intelligent reflecting surface (IRS), which is a surface arrangement of elements that can control the phase o... [more] | SRW2023-4 pp.19-24 |
| CCS, NLP | 2023-06-09 13:55 |
Tokyo | Tokyo City Univ. | Analysis of Vocal and Ventricular Folds Data Using Machine Learning Takumi Inoue, Kota Shiozawa, Isao Tokuda (Rits Univ) NLP2023-24 CCS2023-12 |
Vocal fold vibration is a nonlinear phenomenon in the real world. In humans, vocal folds can produce complex sounds by i... [more] | NLP2023-24 CCS2023-12 pp.49-52 |
| SR | 2023-05-12 13:55 |
Hokkaido | Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Federated Learning-Inspired Gaussian Process Regression: Low Latency Design and Its Application to Radio Map Construction Koya Sato (UEC) SR2023-20 |
Gaussian process regression (GPR) is a non-parametric method that optimizes regression analysis for Gaussian process dat... [more] | SR2023-20 p.91 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 15:15 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
A Method for Fast Compression of Sign Bits of DCT Coefficients in Image Coding Fuma Ito, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) IMQ2022-56 IE2022-133 MVE2022-86 |
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] | IMQ2022-56 IE2022-133 MVE2022-86 pp.178-181 |
| RCC, ISEC, IT, WBS | 2023-03-14 15:20 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
Estimation Performance of Sparse Bayesian Linear Regression model with t-distribution Kazuaki Murayama (UEC) IT2022-105 ISEC2022-84 WBS2022-102 RCC2022-102 |
In the sparse estimation with linear regression model, the t-distribution can be used as a prior distribution. We analyz... [more] | IT2022-105 ISEC2022-84 WBS2022-102 RCC2022-102 pp.236-241 |
| MI | 2023-03-06 09:44 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Machine learning models using CT images and clinical variable to classify tumors in testicular cancer Shota Nakagawa, Masanobu Gido (University of Tsukuba), Satoshi Nitta (University of Tsukuba Hospital), Takahiro Kojima (Aichi Cancer Center Hospital), Hideki Kakeya (University of Tsukuba) MI2022-75 |
This paper presents machine learning methods to classify tumors in testicular cancer. The model combines CT images and c... [more] | MI2022-75 pp.8-13 |
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