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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 126  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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
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
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
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
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
09:50
Online Online Bayesian Holevo and Nagaoka-Hayashi bounds for quantum-state estimation
Jun Suzuki (UEC) IT2021-69 SIP2021-77 RCS2021-237
In this work we propose a Bayesian version of the Nagaoka-Hayashi bound when estimating multiple parameters for quantum ... [more] IT2021-69 SIP2021-77 RCS2021-237
pp.231-236
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
 Results 1 - 20 of 126  /  [Next]  
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