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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
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
 Results 1 - 17 of 17  /   
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