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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| R | 2024-06-13 14:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg (Primary: On-site, Secondary: Online) |
A Note on Model-Based Performance Evaluation of Web Server Clusters under Random Load Balancing Strategy Junjun Zheng, Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) |
(To be available after the conference date) [more] | |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-24 10:00 |
Tokushima | Naruto University of Education | Hierarchical lossless compression of high dynamic range images using predictors based on cellular neural networks Seiya Kushi, Kazuki Nakashima, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.)  NLP2023-85 MICT2023-40 MBE2023-31 |
We have been developing a scalable lossless coding method using cellular neural networks (CNN) as predictors. This metho... [more] | NLP2023-85 MICT2023-40 MBE2023-31 pp.12-15 |
| SIP, IT, RCS | 2024-01-18 11:45 |
Miyagi | (Primary: On-site, Secondary: Online) |
A Study on Massive MIMO Channel Estimation Based on Sparse Bayesian Learning Using Hierarchical Model Kengo Furuta, Takumi Takahashi, Kenta Ito (Osaka Univ.), Shinsuke Ibi (Doshisha Uni.) IT2023-34 SIP2023-67 RCS2023-209 |
Massive multi-input multi-output (MIMO) channels are known to have pseudo-sparsity in the angular (beam) domain, and it ... [more] | IT2023-34 SIP2023-67 RCS2023-209 pp.25-30 |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Individual response prediction with the Anchoring effect model. Fumiya Komatsu, Tomoaki Hamada, Airi Ono, Kazuki Takahashi, Takashi Takekawa (Kogakuin Univ.) |
In the anchoring effect, we predicted individual response values to anchors. In addition to modeling the anchoring effec... [more] | |
| NS | 2023-10-04 11:35 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
NS2023-70 |
In an all-photonics network (APN), all terminal endpoints are connected with full optical mesh paths. Because optical fi... [more] | NS2023-70 pp.14-19 |
| CQ, MIKA (Joint) |
2023-08-31 15:30 |
Fukushima | Tenjin-Misaki Sports Park | Performance Analysis of On-device Hierarchical Federated Learning Frameworks Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2023-28 |
In the rapidly advancing field of artificial intelligence and deep learning, centralized architectures exhibit inherent ... [more] | CQ2023-28 pp.14-19 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Analysis of Individual Characteristics Using Anchoring Effect Model with Bayesian Updating Fumiya Komatsu, Tomoaki Hamada, Isao Ozawa, Yoshihito Yasaki, Takashi Takekawa (KUTE-TOKYO) |
The anchoring effect is a phenomenon in which later judgments are influenced by previously presented numbers. There is a... [more] | |
| CAS, NLP | 2022-10-20 14:55 |
Niigata | (Primary: On-site, Secondary: Online) |
Hierarchical Lossless Coding with Arithmetic Coders for Each CNN Predictor Kazuki Nakashima, Ryo Nakazawa, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS) CAS2022-23 NLP2022-43 |
We have been developing a scalable lossless coding method using the cellular neural networks (CNN) as predictors. This ... [more] |
CAS2022-23 NLP2022-43 pp.20-24 |
| MVE | 2022-09-09 11:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
An Image Recognition Model of Danger Objects for Diverse Clients using Federated Learning Yasuhiro Nitta, Ryo Yonetani, Maki Sugimoto, Hideo Saito (Keio Univ.) MVE2022-15 |
A disabled person can have cognition of danger objects during walking, which might not coincide with a non-disabled pers... [more] | MVE2022-15 pp.26-31 |
| MSS, NLP | 2022-03-28 11:10 |
Online | Online | Analyses on hierarchical networks of reservoir computing to model visual-information processing Takumi Shinkawa, Hideyuki Katou (Oita Univ) MSS2021-59 NLP2021-130 |
Recently, reservoir computing is expected to have various engineering applications such as real-time learning of time-se... [more] | MSS2021-59 NLP2021-130 pp.23-28 |
| IBISML | 2022-03-09 14:55 |
Online | Online | Infinite SCAN: Joint Estimation of Changes and the Number of Word Senses with Gaussian Markov Random Fields Seiichi Inoue, Mamoru Komachi (TMU), Toshinobu Ogiso (NINJAL), Hiroya Takamura (AIST), Daichi Mochihashi (ISM) IBISML2021-47 |
In this study, we propose a hierarchical Bayesian model that can automatically estimate the number of senses for each wo... [more] | IBISML2021-47 pp.61-68 |
| CCS | 2021-11-19 11:10 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
Toward Human Cognition-inspired High-Level Decision Making For Hierarchical Reinforcement Learning Agents Rousslan Fernand Julien Dossa (Kobe Univ.), Takashi Matsubara (Osaka Univ.) CCS2021-28 |
Hierarchical reinforcement learning (HRL) methods aim to leverage the concept of temporal abstraction to efficiently sol... [more] | CCS2021-28 pp.61-66 |
| SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-08 14:50 |
Online | Online | [Invited Talk]
Dissipativity-Based Stability Analysis of Networked Nonlinear Descriptor Systems and Its Application to Power Grids Chiaki Kojima (Toyama Prefectural Univ.) RCC2020-2 NS2020-31 RCS2020-66 SR2020-9 SeMI2020-3 |
This paper pursues to construct a theoretical framework which can efficiently capture the dynamics of large-scale hetero... [more] | RCC2020-2 NS2020-31 RCS2020-66 SR2020-9 SeMI2020-3 pp.1-6(RCC), pp.1-6(NS), pp.49-54(RCS), pp.1-6(SR), pp.1-6(SeMI) |
| NC, MBE (Joint) |
2020-03-06 14:55 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Efficient cluster mapping for conditions of weather based on combination of self-organizing map and hierarchical clustering Kazuki Osawa, Keiji Kamei (NIT), Masumi Ishikawa (KIT) NC2019-113 |
Recently, applications of Deep Learning(AI) for solving social problems have been frequently proposed. However, there ar... [more] | NC2019-113 pp.213-218 |
| NC, MBE | 2019-12-06 15:05 |
Aichi | Toyohashi Tech | Hierarchical prediction error model with echo state network for the auditory local-global oddball paradigm Kosuke Miyoshi (NN), Hiroshi Yamakawa (UTokyo), Koichi Takahashi (RIKEN) MBE2019-55 NC2019-46 |
For the animals, it is imporant to capture important changes in the environmental with smaller energy using hierarchical... [more] | MBE2019-55 NC2019-46 pp.61-65 |
| R | 2019-11-28 13:45 |
Osaka | Central Electric Club | A Note on Moment-Based Approximation for Uncertainty Propagation in Hierarchical Models Jiahao Zhang (Hiroshima Univ.), Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2019-43 |
This paper discusses an approximation method for uncertainty propagation in a hierarchical model. The uncertainty propag... [more] | R2019-43 pp.1-6 |
| R | 2019-11-28 16:25 |
Osaka | Central Electric Club | Reliability Methodologies for Degradation Predictions Based on Hierarchical Bayesian Modeling and Machine Learning Toru Kaise, Toyohiko Egami (Univ. of Hyogo) R2019-49 |
Degradation processes are significant for making values of reliability. Particularly, it is known that stochastic model... [more] |
R2019-49 pp.35-38 |
| TL | 2019-03-18 14:00 |
Tokyo | Waseda University | Proposal of Hierarchical Structured Semantic Space Model for Implementation of Learning of Logic and Facts by Input Sentences. Akinori Takada (Ferris Univ.) TL2018-59 |
In this article I propose "Hierarchical Structured Semantic Space Model (H3SM)" as a method to construct natural languag... [more] | TL2018-59 pp.47-52 |
| EA, SIP, SP | 2019-03-15 10:25 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | Neural Language Models based on Conditional Hierarchical Recurrent Encoder-Decoder for Multi-Party Conversational Speech Recognition Ryo Masumura, Tomohiro Tanaka, Atsushi Ando, Takanobu Oba, Yushi Aono (NTT) EA2018-131 SIP2018-137 SP2018-93 |
This paper presents fully neural network based language models (LMs) that can leverage long-range conversational context... [more] | EA2018-131 SIP2018-137 SP2018-93 pp.191-196 |
| NC, MBE (Joint) |
2018-10-19 14:25 |
Miyagi | Tohoku Univ. | Functional complexity in neuronal network models with hierarchically modular organization Zhixiong Chen, Hideaki Yamamoto, Satoshi Moriya, Katsuya Ide (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato, Ayumi Hirano-Iwata (Tohoku Univ.) NC2018-14 |
Research and development of hardware and architectures that imitate the information processing mechanism of brains is be... [more] | NC2018-14 pp.7-12 |
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