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 Results 1 - 20 of 156  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
Online Online Parameter estimation of an IIR sound correction system in a real environment
Kento Kudo, Shinichi Inoue, Toshihisa Tanaka (TUAT) EA2020-84 SIP2020-115 SP2020-49
When the acoustic equalizer is used as an equalizer for the reference system, it is necessary to measure the sound at ea... [more] EA2020-84 SIP2020-115 SP2020-49
Online Online Phase reduction method for analysis of coupling between coupled oscillator groups exhibiting collective oscillations with statistical approach
Takahiro Arai (Kyoto Univ.), Yoji Kawamura (JAMSTEC), Toshio Aoyagi (Kyoto Univ.) NLP2020-42
In this paper, we extended the method which extracts a phase description of weakly coupled limit-cycle oscillators from ... [more] NLP2020-42
EA 2020-12-14
Online Online Speech Signal Detection Based on Bayesian Estimation by Observing Air-Conducted Speech under Existence of Surrounding Noise with Aid of Bone-Conducted Speech
Akira Ikuta, Hisako Orimoto (Prefectural Univ. of Hiroshima), Kouji Hasegawa (Hiroshima Prefectural Technology Research Inst.) EA2020-48
When applying speech recognition systems to actual circumstances such as inspection and maintenance operations in indust... [more] EA2020-48
PRMU, IPSJ-CVIM 2020-03-17
(Cancelled but technical report was issued)
Experimental Evaluation for Bayes Error Estimation Capability of Large Geometric Margin Minimum Classification Error Training
Ikuhiro Nishiyama (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2019-99
Previous studies suggested that the Large Geometric Margin-Minimum Classification Error (LGM-MCE) training method had th... [more] PRMU2019-99
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
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A note on estimation of gaze features for human emotion estimation while viewing images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for estimation of gaze features for human emotion estimation while viewing images. In the p... [more]
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
IBISML 2020-01-09
Tokyo ISM Real Log Canonical Threshold of Three Layered Neural Network with Swish Activation Function
Raiki Tanaka, Sumio Watanabe (Tokyo Tech) IBISML2019-19
In neural network learning, it is known that selection of activation function effects generalization performance. Althou... [more] IBISML2019-19
R 2019-12-13
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
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) An investigation of kawaii perceptions for contour shapes using Gaussian process ordinal regression
Keito Shiroshita, Masashi Komori (O.E.C.U)
This study explored the latent psychophysical function of perceived kawaii (the Japanese term for “cuteness”) against mu... [more]
SITE 2019-12-06
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
R 2019-11-28
Osaka Central Electric Club Reliability Methodologies for Degradation Predictions Based on Hierarchical Bayesian Modeling and Machine Learning
Toru Kaise, Toyohiko Egami (Univ. of Hyogo) R2019-49
Degradation processes are significant for making values of reliability.
Particularly, it is known that stochastic model... [more]
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Resource Allocation Incorporating Real-World Information For Network Slices With Human Brain Cognition
Semin An, Yuichi Ohsita, Nasayuki Murata (Osaka Univ.)
Network slicing is a technology to accomodate various network services. By using a network slicing, we allocate resource... [more]
ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] 2019-07-24
Kochi Kochi University of Technology Stochastic Existence Connecting Logos that are not necessarily completely divided and Language Games -- Limitations of Security Models and the Possibility of Artificial Intelligence --
Tetsuya Morizumi (KU) ISEC2019-49 SITE2019-43 BioX2019-41 HWS2019-44 ICSS2019-47 EMM2019-52
In this paper we describe that AI architecture including input data in artificial intelligence system for Bayesian estim... [more] ISEC2019-49 SITE2019-43 BioX2019-41 HWS2019-44 ICSS2019-47 EMM2019-52
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
Okinawa Okinawa Institute of Science and Technology Optimal Estimating the Number of Change Points for Sources with Piecewise Constant parameters under Bayesian Criterion
Kairi Suzuki, Akira Kamatsuka, Toshiyasu Matsushima (Waseda Univ.) IBISML2019-6
The problem of estimating the number of the change points is an important problem in various real problems.There have be... [more] IBISML2019-6
HCS, HIP, HI-SIGCE [detail] 2019-05-17
Okinawa Okinawa Industry Support Center An investigation of the most "kawaii" shape using preferential Bayesian optimization
Masashi Komoei (OECU) HCS2019-15 HIP2019-15
This study aims to explore a psychophysical latent function of perceived “Kawaii” (cuteness) against multidimensional sh... [more] HCS2019-15 HIP2019-15
PN 2019-03-14
Okinawa Miyako Island Hirara Port Terminal Bldg. Failure Probability Estimation based on Observation Information of Individual Network Equipment
Masahiro Matsuno, Shu Sekigawa (Keio Univ.), Eiji Ooki (Kyoto Univ.), Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2018-83
As the communication traffic increases due to the spread of IoT (Internet of Things) and the progress of
fifth generati... [more]
EA 2018-12-14
Fukuoka kyushu Univ. Bayesian Filter for Sound Environment by Considering Additive Property of Energy Variable and Fuzzy Observation in Decibel Scale -- Introduction of Fuzzy Moments --
Akira Ikuta, Hisako Orimoto (Prefectural Univ. Hiroshima) EA2018-89
In the measurement and evaluation of actual random signal in a sound environment, the observed data often contain the fu... [more] EA2018-89
CCS 2018-11-23
Hyogo Kobe Univ. Hypernetwork-based Implicit Posterior Estimation of CNN
Kenya Ukai, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-45
Deep neural networks have a rich ability to learn complex representations and achieved remarkable results in various tas... [more] CCS2018-45
 Results 1 - 20 of 156  /  [Next]  
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