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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 131  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14
Osaka Osaka Univ. (Suita Campus) A Study of Feature Point Extraction Methods Suitable for Non-Referenced Local Watermarking in Still Images
Kota Sasaki, Siyi Shang, Masazumi Kurihara, Kazuhiko Yamaguchi (UEC) IT2023-77 ISEC2023-76 WBS2023-65 RCC2023-59
The watermarking based on detection without original data is advantageous in practical use because it does not require a... [more] IT2023-77 ISEC2023-76 WBS2023-65 RCC2023-59
pp.12-19
PRMU, IBISML, IPSJ-CVIM 2024-03-04
11:25
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Joint Estimation of Differential Equations and Latent Event Types from Temporal Point Processes
Shuichi Miyazawa (SOKENDAI), Daichi Mochihashi (ISM) IBISML2023-50
Ordinary differential equations (ODEs) help the interpretation of phenomena in various scientific fields. ODEs are often... [more] IBISML2023-50
pp.71-78
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
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
RISING
(3rd)
2023-10-31
09:45
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] LOS/NLOS estimation using Gaussian process regression in indoor millimeter-wave beamforming
Takumi Bushi, Kenji Ohira, Hideyuki Shimonishi (Osaka Univ.)
Various automations using mobile devices like robots are advancing, and with the collection of large data from
cameras,... [more]

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
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
HIP, HCS, HI-SIGCOASTER [detail] 2023-05-15
11:00
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Exploring Turing Patterns that Elicit Visual Disgust.
Teppei Teraji, Masashi Komori (OECU) HCS2023-9 HIP2023-9
It is widely recognized that images innately perceived as disgusting exist; however, there is limited exploratory resear... [more] HCS2023-9 HIP2023-9
pp.39-42
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
SANE, SAT
(Joint)
2023-03-03
09:30
Okinawa
(Primary: On-site, Secondary: Online)
Simulation Study on Finger Position Detection Method Using Gaussian Process Regression on Non-contact Control Panels
Takayuki Kitamura, Tomoya Yamaoka, Satoshi Kageme (MELCO) SANE2022-114
In recent years, development of transparent antennas for 5G mobile communications has been progressing, in which transpa... [more] SANE2022-114
pp.86-90
HWS, VLD 2023-03-01
11:50
Okinawa
(Primary: On-site, Secondary: Online)
Acceleration of Memristor Modeling Based on Machine Learning Using Gaussian Process
Yuta Shintani, Michiko Inoue (Naist), Michihiro Shintani (Kyoto Institute of Technology) VLD2022-75 HWS2022-46
There has been a great deal of research into the development of domain-specific circuits for multiply-and-accumulate pro... [more] VLD2022-75 HWS2022-46
pp.13-18
HWS, VLD 2023-03-02
13:25
Okinawa
(Primary: On-site, Secondary: Online)
[Memorial Lecture] Wafer-Level Characteristic Variation Modeling Considering Systematic Discontinuous Effects
Takuma Nagao (NAIST), Tomoki Nakamura, Masuo Kajiyama, Makoto Eiki (Sony Semiconductor Manufacturing), Michiko Inoue (NAIST), Michihiro Shintani (Kyoto Institute of Technology) VLD2022-91 HWS2022-62
Statistical wafer-level variation modeling is an attractive method for reducing the measurement cost in large-scale inte... [more] VLD2022-91 HWS2022-62
p.109
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
11:45
Hokkaido Hokkaido Univ. A Note on Improvement of Supervised Latent Variable Model with Graph-Encoded Class Information
Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Supervised latent variable models aim to estimate a manifold from original data and supervised information, such as clas... [more]
SIS 2022-12-06
10:10
Osaka
(Primary: On-site, Secondary: Online)
A Proposal of Nighttime Dehazing Based on Atmospheric Light Estimation by ε-Max Filter and Gaussian Filters
Takafumi Akita, Mashiho Mukaida, Noriaki Suetake (Yamaguchi Univ.) SIS2022-36
In recent years, many image processing techniques for nighttime haze removal have been studied. However, these methods c... [more] SIS2022-36
pp.74-79
RCS, AP, UWT
(Joint)
2022-11-15
10:20
Fukuoka Kyushu University, and Online
(Primary: On-site, Secondary: Online)
A Study on Performance Improvement of Uplink Multi-User Chaos MIMO Transmission Scheme
Kenta Kato, Keisuke Asano, Takumi Abe, Yuki Mori, Eiji Okamoto (NIT), Tetsuya Yamamoto (Panasonic) RCS2022-157
Internet of things (IoT) terminals have spread rapidly in recent years, and multi-user multiple-input multiple-output (M... [more] RCS2022-157
pp.13-18
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
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-27
17:50
Okinawa
(Primary: On-site, Secondary: Online)
Comparison of Variational Bayes and Gibbs Sampling for Normal Inverse Gaussian Mixture Models
Takashi Takekawa (Kogakuin Univ.) NC2022-9 IBISML2022-9
Mixture models for multivariate normal distributions (GMM) are widely used for data clustering. To compensate for the s... [more] NC2022-9 IBISML2022-9
pp.76-79
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
PRMU, IPSJ-CVIM 2022-03-11
09:45
Online Online A Study on Understanding the Meaning of Adverbs by Frequency Spectrum Analysis Using Gaussian Process
Tomoe Taniguchi (Ochanomizu Univ.), Daichi Mochihashi (ISM), Masatoshi Nagano, Tomoaki Nakamura (UEC), Takayuki Nagai (Osaka Univ.), Tetsunari Inamura (NII), Ichiro Kobayashi (Ochanomizu Univ.) PRMU2021-74
In this study, we attempt to understand the meaning of adverbs through the features of human actions.
Specifically, the... [more]
PRMU2021-74
pp.91-96
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