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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
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| 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 |
| ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] | 2019-07-24 10:55 |
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 pp.317-324 |
| NC, MBE (Joint) |
2019-03-04 15:45 |
Tokyo | University of Electro Communications | Variational Bayes algorithm of region base coupled MRF with hidden phase variables Naoki Wada (Tokyo Inst. of Tech.), Masaichiro Mizumaki (JASRI), Yoshiki Seno (Saga prefectural regional industry support center), Masato Okada (The Univ. of Tokyo), Akai Ichiro (Kumamoto Univ.), Toru Aonishi (Tokyo Inst. of Tech.) NC2018-59 |
There are two methods in coupled Markov Random Field(MRF) model for image segmentation: edge-based method and region-bas... [more] | NC2018-59 pp.87-92 |
| IN, NS (Joint) |
2019-03-05 16:00 |
Okinawa | Okinawa Convention Center | Prediction Method for Position of Uncontrollable Vehicle Based on Bayesian Inference in Network-Assisted Autonomous Driving Platform Yuya Taniguchi, Yoshiki Aoki, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) NS2018-285 |
In recent research, network-assisted autonomous driving vehicle is proposed, which means that autonomous driving is cont... [more] | NS2018-285 pp.527-532 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Inference for Logitistic Regression Mixture Model with Local Variational Approximation and Study for Variational Free Energy Fumito Nakamura, Ryosuke Konishi (Generic Solution), Yasushi Kiyoki (Keio) IBISML2018-48 |
A logistic regression mixture model (LRMM) is a mixed model of the Logistic regression model, and it is widely used in t... [more] | IBISML2018-48 pp.29-36 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Variational Approximation Accuracy in Non-negative Matrix Factorization Naoki Hayashi (MSI) IBISML2018-51 |
The asymptotic behavior of the variational free energy of the non-negative matrix factorization (NMF) has been elucidate... [more] | IBISML2018-51 pp.53-60 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Hyperparameter distribution estimation for binary images with the exchange Monte Carlo method Koki Obinata, Shun Katakami, Yue Yonghao, Masato Okada (UTokyo) IBISML2018-79 |
We estimate the distribution of hyperparameters corresponding to the coupling constant and noise in- tensity from an Isi... [more] | IBISML2018-79 pp.263-270 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
A Note on the Estimation Method of Causality Effects based on Statistical Decision Theory Shunsuke Horii, Tota Suko (Waseda Univ.) IBISML2018-97 |
In this paper, we deal with the problem of estimating the intervention effect in statistical causal analysis using struc... [more] | IBISML2018-97 pp.397-402 |
| AI | 2018-08-27 15:50 |
Osaka | Bayesian Inference for Field of Physical Quantity from Data obtained at several Locations Masato Ota, Takeshi Okadome (KG Univ.) AI2018-23 |
This paper proposes a novel method for estimating the physical quantity at every location (physical quan- tity field) fr... [more] | AI2018-23 pp.55-60 |
|
| NS | 2018-04-19 13:25 |
Fukuoka | Fukuoka Univ. | Channel assignment for LPWA networks inspired by perceptual decision-making of human brain Daichi Kominami (Osaka Univ.), Kazuya Suzuki, Yohei Hasegawa, Hideyuki Shimonishi (NEC), Masayuki Murata (Osaka Univ.) NS2018-2 |
Low power wide area (LPWA) technology that realizes low-power-consumption and wide-area communication is rapidly spreadi... [more] | NS2018-2 pp.7-12 |
| MBE, NC (Joint) |
2018-03-14 10:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Experimental Analysis of Real Log Canonical Threshold in Stochastic Matrix Factorization using Hamiltonian Monte Carlo Method Naoki Hayashi, Sumio Watanabe (Tokyo Tech) NC2017-89 |
For the real log canonical threshold (RLCT) that gives the Bayesian generalization error of stochastic matrix factorizat... [more] | NC2017-89 pp.127-131 |
| PRMU, MVE, IPSJ-CVIM [detail] | 2018-01-18 09:30 |
Osaka | Trajectory semantic segmentation based on behavior models Daisuke Ogawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.) PRMU2017-112 MVE2017-33 |
In many cases, such as trajectories clustering and classification, we often divide a trajectory into segments as preproc... [more] | PRMU2017-112 MVE2017-33 pp.1-7 |
|
| PN | 2017-11-16 15:20 |
Tokyo | Kogakuin Univ. | Virtual Network Reconfiguration Based on Bayesian Attractor Model with Linear Regression Toshihiko Ohba, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) PN2017-37 |
A typical approach for configuring a virtual network (VN) over an optical network is to design an optimal VN with a know... [more] | PN2017-37 pp.57-63 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | [Poster Presentation]
Real Log Canonical Threshold of Stochastic Matrix Factorization and its Application to Bayesian Learning Naoki Hayashi, Sumio Watanabe (TokyoTech) IBISML2017-38 |
In stochastic matrix factorization (SMF), we deal with problems that we predict an observed stochastic matrix as a produ... [more] | IBISML2017-38 pp.23-30 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Robust one dimensional phase unwrapping using Markov random fields Yasuhisa Nakashima (Univ. Tokyo), Yasuhiko Igarashi (JST), Yasushi Naruse (NICT), Masato Okada (Univ. Tokyo) IBISML2017-45 |
In the measurement of crustal deformation using satellite or aircraft sensors, interferometric synthetic aperture radar ... [more] | IBISML2017-45 pp.77-84 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | Approximated hyperparameter distribution estimation using Gaussian process and Bayesian optimization Shun Katakami, Hirotaka Sakamoto, Masato Okada (UTokyo) IBISML2017-81 |
In order to reduce the computational cost of Bayesian inference, we propose a method to estimate the Bayesian posterior ... [more] | IBISML2017-81 pp.333-338 |
| CQ | 2017-07-27 12:05 |
Hyogo | Kobe University | Time series analysis of failure rates of equipments for telecommunication networks.
-- State space model using Bayesian inference -- Hiroyuki Funakoshi (NTT) CQ2017-35 |
The author has been analyzed the failure rate of telecommunication network equipments by time series analysis using ARIM... [more] | CQ2017-35 pp.37-42 |
| SC | 2017-03-10 15:45 |
Tokyo | National Institute of Informatics | Probabilistic Inference of Customer States Using Statistical Open Data and Bayesian Networks Hiroaki Nakamura, Michiharu Kudo, Hironori Takeuchi (IBM Japan) SC2016-35 |
Enterprises need to provide services specialized for each customer in a timely manner, and for that purpose, they rely o... [more] | SC2016-35 pp.39-44 |
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