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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IT | 2023-08-03 15:20 |
Kanagawa | Shonan Institute of Technology (Primary: On-site, Secondary: Online) |
Bayesian Predictive Distribution for Poisson Observables Under a Class of Prior Distribution and $alpha$-Divergence Shota Saito (Gunma Univ.)  IT2023-19 |
We investigate a Bayesian predictive distribution for independent Poisson observables. The alpha-divergence is adopted a... [more] | IT2023-19 pp.29-32 |
| IBISML | 2022-12-22 15:10 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Effect of Prior Distribution when Data-Generating Process is in a Neighborhood of Singularities of Learning Machines Nozomi Maki, Sumio Watanabe (TokyoTech) IBISML2022-46 |
Learning machines which have hierarchical structure or latent variables such as deep learning or normal mixtures contain... [more] | IBISML2022-46 pp.18-23 |
| R | 2022-10-07 15:50 |
Fukuoka | (Primary: On-site, Secondary: Online) |
Bayesian ridge estimator based on vine copula-based priors Hirofumi Michimae (Kitasato Univ.), Takeshi Emura (Kurume Univ.) R2022-38 |
Ridge regression is a method that alleviates the multicollinearity problem and stably estimates the regression coefficie... [more] | R2022-38 pp.37-42 |
| R | 2021-07-17 13:00 |
Online | Virtual | Non-informative Priors for the Inverse Gaussian Distribution Takenori Sakumura (Hosei Univ.), Takemi Yanagimoto (ISM) R2021-16 |
In reliability engineering, the distribution of the initial arrival time in the accelerated degradation model is represe... [more] | R2021-16 pp.1-6 |
| MI | 2021-03-16 09:30 |
Online | Online | Statistical modeling of pulmonary vasculatures in CT volumes using a deep generative model Yuki Saeki, Atshushi Saito (TUAT), Jean Cousty, Yukiko Kenmochi (LIGM/ UGE/ CNRS/ ESIEE Paris), Akinobu Shimizu (TUAT) MI2020-65 |
The purpose of this study is to build a statistical intensity model of pulmonary vasculatures in CT volumes. In this stu... [more] | MI2020-65 pp.80-81 |
| CS | 2018-07-12 10:38 |
Okinawa | Eef Information Plaza (Kumejima Is.) | Proposal on partition type priority control for scale free traffic Tsukasa Kodama, Tetsuya Yokotani, Hiroaki Mukai (KIT) CS2018-17 |
This paper proposes Cut-through mechanism with new preemptive priority control, referred to as "Copy mechanism". Scale f... [more] | CS2018-17 pp.31-36 |
| R | 2016-11-17 14:25 |
Osaka | Osaka Central Electric Club Bldg. | Software Reliability Analysis Based on Machine Learning Toru Kaise (Univ. of Hyogo) R2016-50 |
Software debugging processes are made to be effective by managing methods with reliability evaluations. The reliability ... [more] | R2016-50 pp.7-11 |
| CQ | 2016-08-30 15:45 |
Ibaraki | Tsukubasan | Success Prioritized Random Access Protocol
-- Beyond 1/e in Slotted ALOHA -- Daisuke Umehara (Kyoto Inst. of Tech.) CQ2016-71 |
In the IEEE 802.11 distributed coordination function (DCF), the positive backoff counter is invariant just after DCF int... [more] | CQ2016-71 pp.123-128 |
| IT, ISEC, WBS | 2016-03-10 10:40 |
Tokyo | The University of Electro-Communications | Redundancy of Bayesian Code with Markov Fractal Prior Distributions Naoya Matsukami, Tsutomu Kawabata (UEC) IT2015-103 ISEC2015-62 WBS2015-86 |
Bayesian code method is used as a standard in realizing a universal noiseless source code. For a memoryless source, a mi... [more] | IT2015-103 ISEC2015-62 WBS2015-86 pp.13-17 |
| IBISML | 2015-03-05 14:15 |
Kyoto | Kyoto University | Bayes Projection of Conditional Normalized Maximum Likelihood Distributions in Poisson Model and Linear Regression Model Mutsuki Kojima, Fumiyasu Komaki (UT) IBISML2014-86 |
In the Poisson model and the linear regression model, we reveal the relations between the conditional normalized maximum... [more] | IBISML2014-86 pp.9-15 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Coping with Class Balance Change in Classification : Class-Prior Estimation with Energy Distance Hideko Kawakubo (Tokyo Inst. of Tech.), Marthinus Christoffel du Plessis, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-71 |
Due to sample selection bias or non-stationarity of the environment, the class balance often changes between training an... [more] | IBISML2014-71 pp.271-278 |
| MoNA, CQ (Joint) |
2012-09-27 14:30 |
Kagawa | Kagawa pref. Takamatsu-city | A Method of Per-Node Priority Assignment for Live Streaming Flows Yuhei Hayashi, Katsunori Yamaoka (TITech) MoMuC2012-24 |
Per-node priority assignment to each streaming flow can increase number of flows which are able to arrive at destination... [more] | MoMuC2012-24 pp.29-34 |
| NS | 2012-04-19 15:45 |
Kochi | Univ. of Kochi | A generalization of WDS clustering algorithm extension to smart-antenna in wireless mesh networks Shigeto Tajima (Osaka Univ.), Nobuo Funabiki, Shigeru Tomisato, Masaharu Hata (Okayama Univ.), Teruo Higashino (Osaka Univ.) NS2012-7 |
As a scalable inexpensive Internet-access network, we have studied the Wireless Internet-access Mesh Network (WIMNET) th... [more] | NS2012-7 pp.37-42 |
| SANE | 2012-01-27 13:25 |
Nagasaki | Nagasaki Prefectural Art Museum | Maximum A Posteriori Speckle Filtering of Synthetic Aperture Radar Images: A Sequential Approach Yi Cui, Yoshio Yamaguchi, Gulab Singh, Hirokazu Kobayashi, Sang-Eun Park (Niigata Univ.) SANE2011-155 |
In this paper, a sequential speckle filtering method for synthetic aperture radar (SAR) images is proposed. Maximum a po... [more] | SANE2011-155 pp.79-83 |
| PRMU | 2009-11-27 15:40 |
Ishikawa | Ishikawa Industrial Promotion Center | Non-negative Matrix Factorization with Prior Knowledge Mitsuru Ambai, Yuichi Yoshida (Denso IT Laboratory, Inc.) PRMU2009-130 |
Divergence metric is sutable for histogram features and probability density distribution, because the divergence metric ... [more] | PRMU2009-130 pp.265-270 |
| PRMU | 2009-03-13 10:45 |
Miyagi | Tohoku Institute of Technology | [Special Talk]
Implementations of Bayesian Learning
-- MCMC/SMC/DPEM -- Takashi Matsumoto (Waseda Univ.) PRMU2008-246 |
Several implementation schemes are reviewed for Bayesian learning. [more] | PRMU2008-246 pp.39-42 |
| PRMU | 2009-02-19 11:00 |
Tokyo | Univ. of Tokyo (IIS) | Face Detection with Dirichlet Process EM Yu Goto, Tomoaki Kimura (Waseda Univ.), Atsushi Matsui (NHK), Yohei Nakada, Takashi Matsumoto (Waseda Univ.) PRMU2008-214 |
This paper proposes a nonparametric Bayesian scheme to improve computational efficiency of probabilistic face detection.... [more] | PRMU2008-214 pp.37-42 |
| SP, NLC | 2008-12-10 09:55 |
Tokyo | Waseda Univ. | Bayesian Context Clustering Using Cross Validation for HMM-Based Speech Synthesis Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Institute of Technology) NLC2008-36 SP2008-91 |
This paper proposes a prior distribution determination technique using cross validation for HMM-based speech synthesis b... [more] | NLC2008-36 SP2008-91 pp.73-78 |
| PN, NS (Joint) |
2006-12-14 15:35 |
Aichi | Nagoya Univ. | A study of priority control of communications for a wireless mesh network Yohei Nomura, Yuriko Nitta (Okayama Univ.), Shigeto Tajima (Osaka Univ.), Nobuo Funabiki, Toru Nakanishi (Okayama Univ.) NS2006-140 |
We have studied the Wireless Infrastructure Mesh NETwork (WIMNET) as a large-scale multihop wireless network that is exp... [more] | NS2006-140 pp.9-12 |
| RCS, CS (Joint) |
2005-08-26 13:40 |
Tokyo | Tokyo Inst. Tech. | Dynamic L2 Distribution based on Connection Priority for Bandwidth Utilization Tomoya Hatano, Yasunobu Kasahara, Shin-ichi Yoshihara, Toshiyuki Iwata, Yoichi Maeda (NTT) |
Link aggregation is the bonding together of two or more links into a single link that appears as a single, higher-bandwi... [more] | CS2005-13 pp.11-16 |
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