Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICM, IPSJ-IOT, IPSJ-CSEC |
2023-05-11 15:55 |
Kochi |
Eikokuji Campus, Kouchi University of Technology. (Primary: On-site, Secondary: Online) |
Inter-service data consistency assurance method to achieve cloud-native service coordination Masaki Takeda, Kentarou Watanabe, Shin Tezuka, Taku Shimosawa, Satoshi Oshima (Hitachi) ICM2023-5 |
To respond quickly and flexibly to changes in the business environment, service mashup, which combines existing services... [more] |
ICM2023-5 pp.20-25 |
CCS, NLP |
2022-06-10 10:55 |
Osaka |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Computation and learning based on dual stochasticity of the brain Jun-nosuke Teramae (Kyoto Univ.) NLP2022-16 CCS2022-16 |
Neurons and synapses in the brain are highly stochastic devices. Neurons responsible for signal propagation in the brain... [more] |
NLP2022-16 CCS2022-16 pp.78-83 |
IBISML |
2020-10-21 09:45 |
Online |
Online |
IBISML2020-18 |
A symbol emergence system is a multi-agent system where each autonomous agent forms internal representations through int... [more] |
IBISML2020-18 pp.34-35 |
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 |
HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] |
2018-07-26 12:10 |
Hokkaido |
Sapporo Convention Center |
About Access Control with the Deconstruction Device in Probability Measures on Metric Spaces Tetsuya Morizumi, Hirotsugu Kinoshita (KU) ISEC2018-36 SITE2018-28 HWS2018-33 ICSS2018-39 EMM2018-35 |
The word of Socrates: "Not life, but good life, is to be chiefly valued" is the dichotomy between the two, if we see tha... [more] |
ISEC2018-36 SITE2018-28 HWS2018-33 ICSS2018-39 EMM2018-35 pp.281-287 |
IA, SITE, IPSJ-IOT [detail] |
2018-03-06 12:05 |
Tochigi |
Kinugawa Onsen Hotel |
What is the Ethics of Probabilistic Existence seen from a Logical One Tetsuya Morizumi (Kanagawa Univ.) SITE2017-76 IA2017-87 |
In SCIS2018 [14], we criticized the logical approach in the conventional security model and proposed a conceptual model ... [more] |
SITE2017-76 IA2017-87 pp.213-219 |
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 |
IBISML |
2016-11-16 15:00 |
Kyoto |
Kyoto Univ. |
A study of message propagation algorithms for approximate MAP inference of large scale probabilistic models Takashi Sano, Yuuji Ichisugi (AIST AIRC) IBISML2016-57 |
(To be available after the conference date) [more] |
IBISML2016-57 pp.81-86 |
MBE, NC (Joint) |
2015-12-19 13:50 |
Aichi |
Nagoya Institute of Technology |
The reconstruction of the missing pixels in the digital image using unmissing pixels and belief propagation Ryuichi Mashiba, Shun Kataoka, Kazuyuki Tanaka (Tohoku Univ.) NC2015-48 |
A digital image inpainting is an image processing method that reconstructs missing or degraded pixels in the image by us... [more] |
NC2015-48 pp.13-18 |
MBE, NC (Joint) |
2012-11-17 13:30 |
Miyagi |
Tohoku University |
Composite likelihood estimation for bipartite Boltzmann machines Takashi Asari, Muneki Yasuda, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) NC2012-68 |
The recent development of information technology has enabled us to obtain and to storage huge information data.
Because... [more] |
NC2012-68 pp.39-44 |
NC, NLP |
2011-01-25 13:45 |
Hokkaido |
Hokakido Univ. |
A Probabilistic Decision-Making Method Using Conditioning and Loopy-BP Daisuke Kitakoshi, Shuhei Wakasaki, Masato Suzuki (TNCT) NLP2010-148 NC2010-112 |
In the research field of Bayesian network (BN), one of the stochastic models, a variety of probabilistic inference algor... [more] |
NLP2010-148 NC2010-112 pp.135-140 |
IT |
2010-11-30 15:20 |
Nagano |
|
[Invited Talk]
Particle Filter and MCMC for Communication Science Kazuhiro Otsuka (NTT, NTT Comm Sci Labs) IT2010-52 |
In recent years, automatic analysis of human conversation scenes has been acknowledged as an emerging research field. Au... [more] |
IT2010-52 pp.9-18 |
IBISML |
2010-11-04 15:00 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
Probabilistic Inference by minimizing the TRW Free Energy using CCCP Yu Nishiyama (RIKEN), Xingyao Ye, Alan L. Yuille (UCLA) IBISML2010-66 |
We propose a family of convergent double-loop algorithms which minimize the TRW free energy. These algorithms are based ... [more] |
IBISML2010-66 pp.51-58 |
NC, MBE (Joint) |
2010-03-10 13:45 |
Tokyo |
Tamagawa University |
On the structure of the posterior probability distribution in Bayesian inference Akira Date (Univ. of Miyazaki) NC2009-136 |
Probabilistic generative models work in many applications of image analysis and speech recognition. In general, there is... [more] |
NC2009-136 pp.285-290 |
ITE-AIT, IE, ITE-HI, ITE-ME, ITS |
2010-02-16 10:00 |
Hokkaido |
Graduate School of Information and Technology, Hokkaido Univ. |
Perceptual Segmentation of Natural Color Images by Fuzzy-Based Split-and-Merge Algorithm and It's Evaluation Tatsuya Higashikawa, Junji Maeda (Muroran Inst. of Tech.) ITS2009-72 IE2009-166 |
The purpose of this paper is to develop the perceptual segmentation algorithm of natural color images, and to quantitati... [more] |
ITS2009-72 IE2009-166 pp.197-202 |
USN, IPSJ-UBI |
2008-07-18 14:45 |
Tokyo |
Tokyo Denki University (Tokyo) |
Location Inference Based on Reliability of Sensors Yusuke Konishi, Toshiyasu Nakao (NEC) |
We are trying to improve location estimation accuracy by integrating heterogeneous sensors which can detect hints about ... [more] |
USN2008-32 pp.123-128 |
NC, MBE (Joint) |
2008-03-12 10:00 |
Tokyo |
Tamagawa Univ |
Gaussian Graphical Model on Scale-Free Network Takafumi Usui, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2007-112 |
We consider probabilistic inferences formulated by using Gaussian graphical models on scale free networks.
We can deriv... [more] |
NC2007-112 pp.1-5 |