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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 84  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, IN
(Joint)
2024-02-29
10:10
Okinawa Okinawa Convention Center Multimodal Object Recognition Method Using Bayesian Attractor Model For 3D Point Clouds and RGB Images
Haruhito Ando, Daichi Kominami, Ryoga Seki, Masayuki Murata, Hideyuki Shimonishi (Osaka Univ.) NS2023-192
Beyond 5G/6G, technology is driving the development of digital twins. In recent years, the amount of information that ca... [more] NS2023-192
pp.119-124
IBISML 2023-12-21
10:55
Tokyo National Institute of Informatics
(Primary: On-site, Secondary: Online)
On the benefits of Partial Stochastic Bayesian Neural Networks
Koki Sato, Daniel Andrade (Hiroshima Univ.) IBISML2023-36
Bayesian neural networks (BNNs) can model uncertainty in the prediction results better than ordinary neural networks. Ho... [more] IBISML2023-36
pp.37-41
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2023-11-17
14:50
Kumamoto Civic Auditorium Sears Home Yume Hall
(Primary: On-site, Secondary: Online)
Hardware Compression Method Applying Bernoulli Approximation for Bayesian Neural Networks
Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.) VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76
This study focuses on efficiently lightweighting Bayesian deep learning algorithms and implementing them on FPGA. It com... [more] VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76
pp.221-226
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2023-06-30
13:55
Okinawa OIST Conference Center
(Primary: On-site, Secondary: Online)
Exploring Regioselective Catalysts with Hierarchical Bandits
Hongyuan Guo, Koji Tabata, Yoshihiro Matsumura, Tamiki Komatsuzaki (Hokkaido Univ.) NC2023-17 IBISML2023-17
In selective chemical reactions, controlling the reaction site is crucial in synthetic organic chemistry. This study foc... [more] NC2023-17 IBISML2023-17
pp.106-112
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
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
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
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
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
MBE, NC
(Joint)
2020-12-18
17:30
Online Online Parameter inference using Approximate Bayesian Computations for the intermittent control model on postural sway data: A comparison between healthy people and patients with Parkinson's disease
Yasuyuki Suzuki, Akihiro Nakamura (Osaka Univ.), Takuyuki Endo, Saburo Sakoda (Osaka Toneyama Medical Center), Taishin Nomura (Osaka Univ.) MBE2020-25
Feedback control by the central nervous system is indispensable for stabilizing upright posture during quiet standing. W... [more] MBE2020-25
pp.25-30
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-28
12:40
Online Online [Special Talk] Generalization of coherent point drift and its acceleration
Osamu Hirose (Kanazawa Univ.) SIP2020-1 BioX2020-1 IE2020-1 MI2020-1
Point set registration is to find point-to-point correspondences between point sets, each of which represents the shape ... [more] SIP2020-1 BioX2020-1 IE2020-1 MI2020-1
pp.1-3
NC, MBE
(Joint)
2020-03-05
13:00
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Bayesian learning curve for the case when the optimal distribution is not unique
Shuya Nagayasu, Sumio Watanabe (Tokyo Tech) NC2019-94
Bayesian inference is a widely used statistical method. Asymptotic behaviors of generalization loss and free energy in B... [more] NC2019-94
pp.107-112
NC, MBE
(Joint)
2020-03-05
16:10
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Improvement of neuronal ensemble inference by Monte Carlo method and applying to real data
Shun Kimura, Koujin Takeda (Ibaraki Univ.), Keisuke Ota (Riken) NC2019-101
In this work, we propose an improved inference algorithm for neuronal ensembles, which can classify neurons into ensembl... [more] NC2019-101
pp.149-154
CQ, CBE
(Joint)
2020-01-17
09:40
Tokyo NHK Science & Technology Research Laboratories Bayesian channel selection method for LoRaWAN under unpredictable wireless channel fluctuations
Daichi Kominami (Osaka Univ.), Yohei Hasegawa, Kosuke Nogami, Hideyuki Shimonishi (NEC), Masayuki Murata (Osaka Univ.) CQ2019-122
Internet of Things (IoT) become a common term used in society. LPWA technology is attracting attention as one of its ele... [more] CQ2019-122
pp.83-88
R 2019-12-13
14:25
Tokyo Kikai-Shinko-Kaikan Bldg. Statistical method of estimating the date when school lunch caused mass food poisoning was supplied
Mitsuhiro Kimura (Hosei Univ.), Shuhei Ota (Kanagawa Univ.) R2019-51
We focus on estimating the date when school lunch caused mass food poisoning was supplied. In the literature, a log-norm... [more] R2019-51
pp.7-12
SITE 2019-12-06
15:40
Kanagawa   "To be there" as an existence in logical space and an existence in probability measure space -- "Shared logos (partage) on language games" as a necessary condition of physicality --
Tetsuya Morizumi (KU) SITE2019-86
How should the AI relate to the information security? The AI performs Bayesian estimation of a probability distribution ... [more] SITE2019-86
pp.41-46
ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] 2019-07-24
09:30
Kochi Kochi University of Technology Generation of Family Resemblance Inference Rules by Boid Annotation and Labeled-LDA -- A Machine Learning Approach to Integrate Inference Attack Analysis and Covert Channel Attack Analysis --
Kosuke Kurebayashi, Tetsuya Morizumi, Hirotsugu Kinoshita (KU) ISEC2019-42 SITE2019-36 BioX2019-34 HWS2019-37 ICSS2019-40 EMM2019-45
In this paper we propose a method for machine learning similar chains of words (word chains) similar to "rules for infer... [more] ISEC2019-42 SITE2019-36 BioX2019-34 HWS2019-37 ICSS2019-40 EMM2019-45
pp.243-249
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