| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| NS, IN (Joint) |
2022-03-11 10:40 |
Online | Online | Measurement Route Design Using Bayesian Optimization for Degraded Area Detection in Ultra-dense Networks Kotaro Matsuda, Hiroki Ikeuchi, Yousuke Takahashi, Akio Watanabe (NTT) IN2021-40 |
In ultra-dense wireless networks after 5G/6G, communication degradation is expected to increase. On the other hand, the ... [more] | IN2021-40 pp.55-60 |
| NS, IN (Joint) |
2022-03-11 11:40 |
Online | Online | A Study on Bayesian Spatial and Temporal Modeling Approach to Environmental Feature Inference Using Driving Signals From Vehicles Yukio Ogawa (Muroran-IT), Go Hasegawa (Tohoku Univ.), Masayuki Murata (Osaka Univ.) IN2021-43 |
Connected vehicles become an ambient sensing platform, as a number of different signals that they record become availabl... [more] | IN2021-43 pp.73-78 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-10 18:30 |
Online | Online (Zoom) | Implementation and evaluation of an object recognition method for Digital Twin using cognitive mechanism of the Brain Kaito Kubo, Ryoga Seki, Daichi Kominiami, Hideyuki Shimonishi, Masayuki Murata (Osaka Univ.), Masaya Fujiwaka (NEC) CQ2021-125 |
It is desired to construct a digital twin that can sense objects such as people and objects in the real world and repres... [more] | CQ2021-125 pp.136-141 |
| IBISML | 2022-03-09 09:40 |
Online | Online | [Invited Talk]
--- Satoru Tokuda (Kyushu Univ.) IBISML2021-40 |
Plasma is the fourth state of matter, in which individual electrons and ions move around at various speeds. The velocity... [more] | IBISML2021-40 p.33 |
| IBISML | 2022-03-09 14:55 |
Online | Online | Infinite SCAN: Joint Estimation of Changes and the Number of Word Senses with Gaussian Markov Random Fields Seiichi Inoue, Mamoru Komachi (TMU), Toshinobu Ogiso (NINJAL), Hiroya Takamura (AIST), Daichi Mochihashi (ISM) IBISML2021-47 |
In this study, we propose a hierarchical Bayesian model that can automatically estimate the number of senses for each wo... [more] | IBISML2021-47 pp.61-68 |
| CQ, CBE (Joint) |
2022-01-27 16:05 |
Ishikawa | Kanazawa（Ishikawa Pref.） (Primary: On-site, Secondary: Online) |
Proposal and evaluation of 3D-point object estimation method based on probability space representation Hiroaki Sato, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) CQ2021-83 |
New network services are expected to emerge using real spatial information in remote areas. For the advancement of servi... [more] | CQ2021-83 pp.39-44 |
| 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 | 2022-01-17 10:20 |
Online | Online | Constrained Bayesian Optimization through Optimal-value Entropy Shion Takeno, Tomoyuki Tamura (NIT), Kazuki Shitara (Osaka Univ./JFCC), Masayuki Karasuyama (NIT) IBISML2021-19 |
The constrained optimization problem for the expensive black-box function is a major problem. Although the effectiveness... [more] | IBISML2021-19 pp.9-16 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Visualization of stereotypical face using Gaussian process preference learning and generative image model Masashi Komori, Keito Shiroshita (OECU), Koyo Nakamura, Maiko Kobayashi, Katsumi Watanabe (Waseda Univ.) |
Estimating Facial Stereotypes of Out-group Using Gaussian Process Preference Learning [more] | |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Analysis and generalization of anchoring effects using a Bayesian update model Tomoaki Hamada, Takashi Takekawa, Isao Ozawa (KUTE-TOKYO) |
In recent years, the Bayesian brain hypothesis has been proposed in the field of neuroscience that Bayesian updates are ... [more] | |
| R | 2021-10-22 14:25 |
Online | Online | [Invited Talk]
Field Lifetime Data Analysis with Left-truncation and Right-censoring
-- Statistical Inference and Reliability Prediction based on Parametric Models -- Takeshi Emura (Kurume Univ.), Hirofumi Michimae (Kitasato Univ.) R2021-31 |
In applications of reliability analyses, a dataset may be collected during a period of time to observe failure events. L... [more] | R2021-31 pp.7-12 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 13:00 |
Online | Online | Nonparametric Bayesian Deep Visualization Haruya Ishizuka (Bridgestone Corp.), Daichi Mochihashi (ISM) NC2021-1 IBISML2021-1 |
(To be available after the conference date) [more] | NC2021-1 IBISML2021-1 pp.1-8 |
| CS, CQ (Joint) |
2021-05-14 11:15 |
Online | On-line | Proposal and Evaluation of an Object Estimation Method Inspired by Multimodal Information Processing in the Brain Ryoga Seki, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata (Osaka Univ.), Masaya Fujiwaka, Kosuke Nogami (NEC) CQ2021-14 |
In order to realize the digital twin, it is desired to instantly identify various objects in the real world through sens... [more] | CQ2021-14 pp.59-64 |
| MI | 2021-03-15 15:30 |
Online | Online | Evaluation of Bayesian Active Learning for Segmentation of Liver and Spleen in Large Scale Abdominal MR Data Sets Bin Zhang, Yoshito Otake, Mazen Soufi (NAIST), Masatoshi Hori (Kobe University), Noriyuki Tomiyama (Osaka University), Yoshinobu Sato (NAIST) MI2020-60 |
Manual annotation in image segmentation is time-consuming and expensive. In order to obtain large number of annotated da... [more] | MI2020-60 pp.62-65 |
| WBS, IT, ISEC | 2021-03-05 10:15 |
Online | Online | A Proposal for Causal Inference with Subjective Evaluation Daichi Ikeda, Hikaru Morita (Graduate School of Kanagawa Univ.) IT2020-146 ISEC2020-76 WBS2020-65 |
Machine learning techniques such as deep learning are often used for identification and personal matching in information... [more] | IT2020-146 ISEC2020-76 WBS2020-65 pp.208-212 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 16:45 |
Online | Online | An optimal prediction of phoneme under Bayes criterion by weighting multiple hidden Markov models Taishi Yamaoka, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) EA2020-76 SIP2020-107 SP2020-41 |
In this paper, we propose a prediction method for prediction problems using a hidden Markov model. Specifically, it is a... [more] | EA2020-76 SIP2020-107 SP2020-41 pp.97-102 |
[Return to Top Page]