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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CQ, CBE (Joint) |
2021-01-20 13:05 |
Online | Online | A Study of a Method to Analyze Brain Network Using WSD(Weighted Spectral Distribution) Yuki Oishi, Toyoaki Taniguchi, Yusuke Sakumoto (Kwansei Gakuin Univ)  CQ2020-66 |
In order to understand the complex behavior of brains, many works have analyzed connectomes, which are the connection in... [more] | CQ2020-66 pp.32-37 |
| MSS, CAS, IPSJ-AL [detail] | 2020-11-25 16:10 |
Online | Online | Distributed convex optimization with inequality constraints over directed graphs based on row stochasticity Hiroaki Sakuma, Naoki Hayashi, Shigemasa Takai (Osaka Univ.) CAS2020-22 MSS2020-14 |
Distributed optimization is a method in which agents exchange information on the network to obtain the optimal solution ... [more] | CAS2020-22 MSS2020-14 pp.16-21 |
| ISEC, IT, WBS | 2020-03-11 10:45 |
Hyogo | University of Hyogo (Cancelled but technical report was issued) |
A Remark on Improving Aggregate Message Authentication Codes with Detecting Functionality Lu Cao, Shingo Sato, Junji Shikata (Yokohama National Univ.) IT2019-111 ISEC2019-107 WBS2019-60 |
An aggregate message authentication code (AMAC) can compress multiple MAC tags into a short aggregate tag. An aggregate ... [more] | IT2019-111 ISEC2019-107 WBS2019-60 pp.143-150 |
| MSS, NLP (Joint) |
2020-03-10 15:20 |
Aichi | (Cancelled but technical report was issued) |
Design of Event-Triggered Quantized State Feedback Based on Uniformly Ultimate Boundedness Shumpei Yoshikawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2019-66 |
The notion of uniformly ultimate boundedness (UUB) is that after the state reaches to a certain convex set, the state st... [more] | MSS2019-66 pp.49-52 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 10:45 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Accurate OD Traffic Matrix Estimation Using Pseudo Network Topology Yohei Hasegawa, Masato Uchida (Waseda Univ.) CQ2019-150 |
In this paper, we consider the problem of estimating the traffic rate of every unobservable global flow (individual-flow... [more] | CQ2019-150 pp.81-86 |
| SIS | 2019-12-12 15:45 |
Okayama | Okayama University of Science | [Invited Talk]
Consensus-Based Distributed Algorithms and Applications to Machine Learning Norikazu Takahashi (Okayama Univ.) SIS2019-29 |
Recently, consensus-based distributed optimization methods for multi-agent systems have been vigorously studied in the f... [more] | SIS2019-29 p.35 |
| EA | 2019-12-13 13:25 |
Fukuoka | Kyushu Inst. Tech. | Rank-constrained spatial covariance matrix estimation based on multivariate complex generalized Gaussian distribution and its acceleration for blind speech extraction Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2019-78 |
In this paper, we generalize a generative model in rank-constrained spatial covariance matrix estimation that separates ... [more] | EA2019-78 pp.85-92 |
| EMT, IEE-EMT | 2019-11-08 13:40 |
Saga | Hotel Syunkeiya | Experimental Evaluation of EEG Source Localization Based on Lead Field Matrix by Matching Pursuit Takayoshi Moridera, Takahiro Ito, Toshiaki Wasaka (NITech), Tetsuo Kida (ADDC), Akimasa Hirata (NITech) EMT2019-68 |
In recent years, effective utilization of biological signals from the brain activity has been progressing in medical sci... [more] | EMT2019-68 pp.207-212 |
| QIT (2nd) |
2019-05-20 13:20 |
Fukuoka | Kyushu University, Chikushi Campus | [Poster Presentation]
Quantum algorithm for matrix functions by Cauchy's integral formula Souichi Takahira (Aichi Pref. Univ), Asuka Ohashi (Ritsumeikan Univ.), Tomohiro Sogabe (Nagoya Univ.), Tsuyoshi Usuda (Aichi Pref. Univ) |
[more] | |
| NLP, NC (Joint) |
2019-01-24 15:20 |
Hokkaido | The Centennial Hall, Hokkaido Univ. | A New Method for Deriving Multiplicative Update Rules for NMF with Error Functions Containing Logarithm Akihiro Koso, Norikazu Takahashi (Okayama Univ.) NLP2018-122 |
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix X into two nonnegative... [more] | NLP2018-122 pp.137-142 |
| EMCJ | 2019-01-18 13:40 |
Osaka | Osaka University | Variation of estimation accuracy by difference between shape and heterogeneity of model for EEG brain wave source localization Yuki Osachi, Takahiro Ito, Akimasa Hirata (NITech) EMCJ2018-104 |
In recent years, effective utilization of biological signals from the brain activity has been progressing in the medical... [more] | EMCJ2018-104 pp.25-28 |
| MW | 2018-12-13 10:10 |
Kanagawa | Kanagawa Univ. | A High-order Cul-de-Sac Coupling Bandpass Filter Design Using Even/Odd-mode Stepped Impedance Resonators Ryo Mikase, Masataka Ohira, Zhewang Ma (Saitama Univ.) MW2018-115 |
In the design of bandpass filters (BPFs), transmission zeros (TZs) can be generated at arbitrary frequency positions by ... [more] | MW2018-115 pp.7-12 |
| NLP | 2018-04-26 16:25 |
Kumamoto | Kumaoto Univ. | Construction Methods of Probabilistic Boolean Networks Based on Imperfect Information Katsuaki Umiji, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) NLP2018-11 |
A probabilistic Boolean network (PBN) is one of the mathematical models of gene regulatory networks. In a Boolean networ... [more] | NLP2018-11 pp.49-52 |
| MBE, NC (Joint) |
2018-03-13 10:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Yuma Saito, Tsubasa Ito (Tokyo Tech), Keisuke Ota, Masanori Murayama (RIKEN), Toru Aonishi (Tokyo Tech) NC2017-68 |
Recent rapid progress of imaging techniques such as two-photon microscopes causes the extreme increase in amount of acqu... [more] | NC2017-68 pp.3-8 |
| IBISML | 2018-03-05 17:00 |
Fukuoka | Nishijin Plaza, Kyushu University | Transformed Multiple Matrix Factorization: Towards Utilizing Heterogeneous Auxiliary Information Taira Tsuchiya (Waseda Univ.), Tomoharu Iwata (NTT), Tetsuji Ogawa (Waseda Univ.) IBISML2017-96 |
Matrix factorization is widely used for a variety of fields, such as computer vision, document analysis, signal processi... [more] | IBISML2017-96 pp.41-48 |
| NS, IN (Joint) |
2018-03-02 11:10 |
Miyazaki | Phoenix Seagaia Resort | Generalized Inverse Function Method for OD Traffic Matrix Estimation Yuki Doi (Waseda Univ.), Masato Tsuru (KIT), Masato Uchida (Waseda Univ.) NS2017-216 |
The origin-destination traffic matrix (ODTM) estimation is a technique for estimating the amount of global inter-network... [more] | NS2017-216 pp.275-280 |
| RCS, SR, SRW (Joint) |
2018-03-02 17:35 |
Kanagawa | YRP | Parameter Control Method for Massive MIMO using Hybrid Beamforming Ryutaro Kitajima, Kazuhiko Fukawa, Yuyuan Chang (Tokyo Tech) RCS2017-394 |
For the next generation mobile communications, hybrid beamforming (HB) that consists of joint analog beamforming (AB) an... [more] | RCS2017-394 pp.417-422 |
| NLP | 2017-07-13 13:00 |
Okinawa | Miyako Island Marine Terminal | A Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence Satoshi Nakatsu, Norikazu Takahashi (Okayama Univ.) NLP2017-31 |
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] | NLP2017-31 pp.17-22 |
| MW (2nd) |
2017-06-14 - 2017-06-16 |
Overseas | KMUTT, Bangkok, Thailand | Software (GSM Solver) to Solve Scattering Characteristic for Arbitrarily Connected Scattering Matrices Takuichi Hirano (Tokyo Tech) |
Microwave systems are composed of several components. Each component consists of ports (connectors or transmission lines... [more] | |
| NLP | 2017-05-11 16:00 |
Okayama | Okayama University of Science | Multiplicative Update Rules for Nonnegative Matrix Factorization with Regularization Terms Akihiro Koso, Norikazu Takahashi (Okayama Univ.) NLP2017-13 |
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] | NLP2017-13 pp.63-68 |
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