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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 |
| SIP, IT, RCS | 2024-01-18 11:45 |
Miyagi | (Primary: On-site, Secondary: Online) |
A Study on Massive MIMO Channel Estimation Based on Sparse Bayesian Learning Using Hierarchical Model Kengo Furuta, Takumi Takahashi, Kenta Ito (Osaka Univ.), Shinsuke Ibi (Doshisha Uni.) IT2023-34 SIP2023-67 RCS2023-209 |
Massive multi-input multi-output (MIMO) channels are known to have pseudo-sparsity in the angular (beam) domain, and it ... [more] | IT2023-34 SIP2023-67 RCS2023-209 pp.25-30 |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Numerical computation of Bayesian Nagaoka-Hayashi bound for three-parameter qubit -state estimation Zhao Kehan, Suzuki Jun (UEC) |
In this work, we study parameter estimation about a three-parameter qubit-state model under the Bayesian setting. Recent... [more] | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Individual response prediction with the Anchoring effect model. Fumiya Komatsu, Tomoaki Hamada, Airi Ono, Kazuki Takahashi, Takashi Takekawa (Kogakuin Univ.) |
In the anchoring effect, we predicted individual response values to anchors. In addition to modeling the anchoring effec... [more] | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Estimating anxiety intensity in persons with dementia using phrases, facial expressions, and behaviors Narumi Shigekiyo, Masaaki Yamauchi (Osaka Univ.), Hiroshi Tsuji (Montessori Care Assoc.), Hideyuki Shimonishi, Masayuki Murata, Miwa Sugita, Michihiro Kita (Osaka Univ.) |
Persons with Dementia (PwD) are anxious about their memories and future due to cognitive decline, and these anxieties ca... [more] | |
| HIP | 2023-10-10 17:05 |
Kyoto | Kyoto Keizai Center (Primary: On-site, Secondary: Online) |
Change of latent attention levels using microsaccade frequency in response to a stimulus vibration in the peripheral field of vision Minoru Nakayama, Takahiro Ueno (Tokyo Tech.) HIP2023-64 |
Levels of visual attention and cognitive load were evaluated with a modelling of behavioural responses and microsaccade ... [more] | HIP2023-64 pp.22-27 |
| NS | 2023-10-04 15:20 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Bayesian optimization with online clustering Yuto Sando (Osaka Univ.), Tatsuaki Kimura (Doshisha Univ.), Takuto Kimura (NTT QONOQ), Tetsuya Takine (Osaka Univ.) NS2023-76 |
Bayesian optimization is a method that sequentially explores optimal values for an unknown continuous reward function an... [more] | NS2023-76 p.30 |
| EA, ASJ-H, ASJ-MA, ASJ-SP | 2023-07-03 11:35 |
Hokkaido | Consideration on Sound Source Distance Measurement by Complex Sparse Bayesian Estimation Using a Small Microphone Array System Senta Ariizumi, Teruki Toya, Kenji Ozawa (UoY) EA2023-17 |
In this study, we aim to measure the distance to a sound source by sparse Bayesian estimation using a small-scale microp... [more] | EA2023-17 pp.72-77 |
|
| RCC, ISEC, IT, WBS | 2023-03-14 10:30 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Information-Theoretic Analyses for Two Problems Taking Security into Consideration
-- Parameter Estimation Problem under Local Differential Privacy, and Privacy-Utility Tradeoff Problem -- Shota Saito (Gunma Univ.) IT2022-71 ISEC2022-50 WBS2022-68 RCC2022-68 |
This lecture surveys the following two problems: 1) parameter estimation problem under $(epsilon, delta)$-local differen... [more] | IT2022-71 ISEC2022-50 WBS2022-68 RCC2022-68 pp.19-24 |
| 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 |
| ET | 2023-03-14 13:20 |
Tokushima | Tokushima University (Primary: On-site, Secondary: Online) |
Estimation of Learning Methods from Tools for Monitoring Learning Process Kento Kuwajima, Atsushi Ashida, Tomoko Kojiri (Kansai Univ.) ET2022-69 |
In the future, with the recent development of robot technology, teacher robots will be introduced in the educational set... [more] | ET2022-69 pp.57-64 |
| IT, RCS, SIP | 2023-01-25 14:35 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An Optimal Prediction on Multilevel Coefficient Linear Regression Model by Bayes Decision Theory and Its Approximation Method Kohei Horinouchi, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-67 SIP2022-118 RCS2022-246 |
It is common practice to apply Multilevel Analysis for the data sampled from various classes. In this Analysis, it is co... [more] | IT2022-67 SIP2022-118 RCS2022-246 pp.217-222 |
| EA, EMM, ASJ-H | 2022-11-21 10:00 |
Online | Online | [Poster Presentation]
Consideration on sound source distance measurement using the sparse Bayesian estimation with a small microphone array system Senta Ariizumi, Eishin Kirikane, Kenji Ozawa (Univ. of Yamanashi) EA2022-47 EMM2022-47 |
The objective of this study is to achieve distance measurement of the sound source by using sparse Bayesian estimation f... [more] | EA2022-47 EMM2022-47 pp.34-39 |
| R | 2022-10-07 15:50 |
Fukuoka | (Primary: On-site, Secondary: Online) |
Bayesian ridge estimator based on vine copula-based priors Hirofumi Michimae (Kitasato Univ.), Takeshi Emura (Kurume Univ.) R2022-38 |
Ridge regression is a method that alleviates the multicollinearity problem and stably estimates the regression coefficie... [more] | R2022-38 pp.37-42 |
| NC, MBE (Joint) |
2022-09-30 10:30 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
An approximation algorithm for computing integrated information based on Gaussian process regression Tadaaki Hosaka (TUS) NC2022-40 |
The framework of Integrated Information Theory, which aims to mathematically deal with consciousness, consists of multip... [more] | NC2022-40 pp.32-37 |
| IT | 2022-07-22 14:15 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
A Study on Multilevel Coefficient Linear Regression Model and an Optimal Prediction for Multilevel Data by Bayes Decision Theory Kohei Horinouchi, Naoki Ichijo, Taisuke Ishiwatari, Toshiyasu Matsushima (Waseda Univ.) IT2022-26 |
It is common practice to apply Multilevel Model (Linear Mixed Model, Hierarchical Linear Model) for the data sampled fro... [more] | IT2022-26 pp.56-60 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 14:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Bagging Method to Improve the Accuracy of Gaussian Process Regression for Neural Architecture Search Rion Hada, Masao Okita, Fumihiko Ino (Osaka Univ.) NC2022-2 IBISML2022-2 |
The goal of this study is to improve performance estimation for neural network architectures in neural architecture sear... [more] | NC2022-2 IBISML2022-2 pp.6-13 |
| CCS, NLP | 2022-06-10 16:45 |
Osaka | (Primary: On-site, Secondary: Online) |
Motion artifact reduction in EEG recordings using the multivariate temporal response function of acceleration signals with hyperparameter estimation Hiroaki Umehara, Yusuke Yokota (NICT), Masato Okada (UTokyo/NICT), Yasuishi Naruse (NICT) NLP2022-24 CCS2022-24 |
The recent advances of wearable electroencephalography (EEG) systems with dry electrodes provide the realization of brai... [more] | NLP2022-24 CCS2022-24 pp.123-128 |
| IT, EMM | 2022-05-17 13:25 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
A Note on Time-Varying Two-Dimensional Autoregressive Models and the Bayes Codes Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2022-2 EMM2022-2 |
This paper proposes a two-dimensional autoregressive model with time-varying parameters as a stochastic model for explai... [more] | IT2022-2 EMM2022-2 pp.7-12 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2022-05-15 15:35 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Examination of morphological traits of children's faces related to perceptions of cuteness using Gaussian process ordinal regression Teppei Teraji, Keito Shiroshita, Masashi Komori (OECU), Hiroshi Nittono (Osaka Univ.) HCS2022-17 HIP2022-17 |
Konrad Lorenz, an ethologist, proposed that certain physical elements are perceived as cute and induce caretaking behavi... [more] | HCS2022-17 HIP2022-17 pp.81-85 |
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