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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS, IN (Joint) |
2024-03-01 10:10 |
Okinawa | Okinawa Convention Center | On Game Theoretic Mining Task Offloading in Decentralized Applications Kota Yamada, Takanori Hara, Shoji Kasahara (NAIST)  NS2023-198 |
With the increasing demand for blockchain-based Decentralized Applications (DApps), mining increas- ingly grows in impor... [more] | NS2023-198 pp.154-159 |
| DC, SS | 2022-10-25 10:50 |
Fukushima | (Primary: On-site, Secondary: Online) |
SS2022-23 DC2022-29 |
Synthesis problems with multiple environments that behave rationally have been studied based on multiplayer non-zero-sum... [more] | SS2022-23 DC2022-29 pp.10-15 |
| HWS, ICD | 2022-10-25 14:50 |
Shiga | (Primary: On-site, Secondary: Online) |
Design and Prototype Evaluation of Stochastic Encrypted Computing Hardware Yuki Tamura, Rei Ueno, Naofumi Homma (Tohoku Univ.) HWS2022-38 ICD2022-30 |
This paper describes the design and evaluation of Homomorphic Encryption for Stochastic Computing (HESC) hardware.HESC ... [more] |
HWS2022-38 ICD2022-30 pp.46-51 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 15:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Causal Discovery in Discrete Data Using NML Code Length Based on MDL Principle Masatoshi Kobayashi, Nishimoto Hiroki, Shin Mastushima (Todai) NC2022-21 IBISML2022-21 |
Inference on the causal structure among random variables from only a finite number of observed data is one of the most i... [more] | NC2022-21 IBISML2022-21 pp.149-155 |
| RCS, SAT (Joint) |
2021-08-27 15:20 |
Online | Online | Low-Complexity Robust Beamforming Design for Millimeter-Wave Communications with Random Blockage Sota Uchimura (UEC), Hiroki Iimori, Giuseppe Abreu (JUB), Koji Ishibashi (UEC) RCS2021-116 |
In this paper, we propose a low-complexity beamforming algorithm for coordinated multi-point (CoMP) millimeter-wave wire... [more] | RCS2021-116 pp.91-96 |
| IT | 2021-07-09 13:25 |
Online | Online | A Note on the Reduction of Computational Complexity for Linear Regression Model Including Cluster Explanatory Variables and Regression Explanatory Variables
-- Bayes Optimal Prediction and Sub-Optimal Algorithm -- Sho Kayama (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-24 |
By considering the probability model with the structure that the data is divided into clusters and each cluster has an i... [more] | IT2021-24 pp.51-56 |
| NLP | 2018-08-09 10:45 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. | Mode Conservation in Electron Waveguides and Complexity of Stochastic Quantization Ibuki Nakamura, Shota Hayakawa, Nobuyuki Hirami, Hisato Fujisaka (Hiroshima City Univ.) NLP2018-67 |
In simulating a quantum effect circuits, it is necessary to express electrons on a waveguide as particles in order to pe... [more] | NLP2018-67 pp.75-79 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-25 09:55 |
Okinawa | Okinawa Institute of Science and Technology | Stochastic Divergence Minimization for Biterm Topic Model Zhenghang Cui (Univ. of Tokyo), Issei Sato (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2017-7 |
Inferring latent topics of collected short texts is useful for understanding its hidden structure and predicting new con... [more] | IBISML2017-7 pp.185-192 |
| IT, SIP, RCS | 2017-01-19 15:45 |
Osaka | Osaka City Univ. | A Study on Low-Complexity MIMO Detection Based on Stochastic Generalized Belief Propagation Akihide David Shigyo, Shogo Tanabe, Koji Ishibashi (Univ. of Electro-Communications) IT2016-75 SIP2016-113 RCS2016-265 |
As an efficient multi-input multi-output (MIMO) detection, a belief propagation (BP) has been actively studied. BP-based... [more] | IT2016-75 SIP2016-113 RCS2016-265 pp.171-176 |
| SIP, EA, SP | 2015-03-03 09:00 |
Okinawa | [Poster Presentation]
Image Restoration by Stochastic Proximal Optimization Shunsuke Ono (Tokyo Tech.), Takamichi Miyata (Chiba Tech.), Itsuo Kumazawa (Tokyo Tech.) EA2014-98 SIP2014-139 SP2014-161 |
This report presents a stochastic proximal optimization framework for image restoration. Existing proximal optimization ... [more] | EA2014-98 SIP2014-139 SP2014-161 pp.139-144 |
|
| NC, MBE (Joint) |
2012-12-12 10:20 |
Aichi | Toyohashi University of Technology | Numerical Analysis of Electrogastrograms in Elderly using Stochastic Resonance Model Yukimasa Kasamatsu, Fumiya Kinoshita, Yasuyuki Matsuura, Hiroki Takada (Univ. of Fukui) MBE2012-62 |
The electrical activity of the gastrointestine is measured using an electrogastrograph and presented as an electrogastro... [more] | MBE2012-62 pp.9-12 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2011-09-05 10:30 |
Hokkaido | On Evaluation of Stochastic Complexity based on Bayes Code and Its Applications to Model Selection Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ./ISIT) PRMU2011-59 IBISML2011-18 |
We evaluate stochastic complexity of Gaussian mixture by Bayes code length, and apply it to the model selection problem.... [more] | PRMU2011-59 IBISML2011-18 pp.9-14 |
|
| NC, MBE (Joint) |
2009-03-11 16:10 |
Tokyo | Tamagawa Univ. | Numerical Calculation of Stochastic Complexties through Optimization of Gaussian Mixture centered on MCMC Samples Takayuki Higo, Kenji Nagata, Sumio Watanabe (Tokyo Inst. of Tech.) NC2008-112 |
Stochastic complexity is a criterion for model selection and determination of hyper parameters in Bayesian learning．If s... [more] | NC2008-112 pp.51-56 |
| COMP | 2007-09-20 13:15 |
Aichi | Approximating the Distribution Function of Minimum Spanning Tree Cost with Normally Disributed Stochastic Edge Weights Ei Ando, Hirotaka Ono, Kunihiko Sadakane, Masafumi Yamashita (Kyushu Univ.) COMP2007-35 |
Given a graph $G$ of $n$ vertices whose edge weights are random variables and obey mutually independent normal distri... [more] |
COMP2007-35 pp.21-27 |
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