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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Accelerating and stabilizing vectorwise coordinate descent for spatially regularized independent low-rank matrix analysis Yuto Ishikawa, Takuya Okubo, Norihiro Takamune (UTokyo), Tomohiko Nakamura (AIST), Daichi Kitamura (NIT Kagawa), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha)  EA2023-68 SIP2023-115 SP2023-50 |
Spatially regularized independent low-rank matrix analysis (SR-ILRMA) is the method that introduces the spatial prior in... [more] | EA2023-68 SIP2023-115 SP2023-50 pp.43-50 |
| EA, US (Joint) |
2023-12-22 13:00 |
Fukuoka | [Poster Presentation]
Multichannel Blind Source Separation Using Independent Low-Rank Matrix Analysis with Observed-Signal-Dependent Regularization Based on Spectrogram Consistency Takaaki Kojima, Norihiro Takamune, Sota Misawa (UTokyo), Daichi Kitamura (NIT,Kagawa), Hiroshi Saruwatari (UTokyo) EA2023-51 |
Independent low-rank matrix analysis (ILRMA) is the state-of-the-art technique for blind source separation under the ove... [more] | EA2023-51 pp.13-20 |
|
| CQ | 2023-07-12 14:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Study on the Effectiveness of Matrix Approximation without Rank Constraint Eriko Segawa, Yusuke Sakumto (Kwansei Gakuin Univ.) CQ2023-10 |
The proper selection of graph spectrum is crucial for constructing efficient graph algorithms. We have discussed a matri... [more] | CQ2023-10 pp.12-17 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-15 11:25 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Study on the Importance of Each Eigenvalue and Eigenvector for Laplacian Matrix Using Matrix Approximation Eriko Segawa, Yusuke Sakumoto (Kwansei Gakuin Univ.) CQ2022-84 |
It is important for developing sophisticated graph algorithms to understand deeply the characteristics of the typical ma... [more] | CQ2022-84 pp.25-30 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 16:25 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Fast Identification of Possible Model Parameter Update for Low-Rank Update of Training Data Hiroyuki Hanada, Noriaki Hashimoto (RIKEN), Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.) PRMU2022-123 IBISML2022-130 |
Machine learning methods often require re-training the training dataset with low-rank modifications (small number of ins... [more] | PRMU2022-123 IBISML2022-130 pp.347-354 |
| IN, NS (Joint) |
2023-03-03 13:50 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
A Rank Attack Avoidance Method based on Neighbor Node Rank Variation in RPL Networks Ryota Uchida, Masami Yoshida, Taku Noguchi (Ritsumeikan Univ.) NS2022-239 |
(To be available after the conference date) [more] | NS2022-239 pp.412-417 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 09:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Regularization Term Design Based on Spectrogram Consistency in Independent Low-Rank Matrix Analysis for Multichannel Audio Source Separation Sota Misawa, Norihiro Takamune (UTokyo), Kohei Yatabe (TUAT), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2022-105 SIP2022-149 SP2022-69 |
It is known that block permutation occurs in the separated signals obtained by independent low-rank matrix analysis. Rec... [more] | EA2022-105 SIP2022-149 SP2022-69 pp.177-184 |
| EA, US (Joint) |
2022-12-23 09:00 |
Hiroshima | Satellite Campus Hiroshima | Proposal of Speech Decomposition Algorithm by Cepstral-Basis-Decomposed Nonnegative Matrix Factorization and Application to Speech Source Separation Technique Fuga Oshima, Masashi Nakayama (Hiroshima City) EA2022-69 |
Nonnegative matrix factorization (NMF) is the algorithm that effectively represents acoustical signals by inputting ampl... [more] | EA2022-69 pp.49-54 |
| IN, IA (Joint) |
2022-12-13 10:15 |
Hiroshima | Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
[Short Paper]
Investigation of a Matrix Approximation Method for Analyzing the Information Amount Contained in the Specified Eigenvalues and Eigenvectors Eriko Segawa, Yusuke Sakumoto (Kwansei Gakuin Univ) IA2022-56 |
In general, the large eigenvalues and their eigenvectors of a matrix representing the network structure are important to... [more] | IA2022-56 pp.47-49 |
| SIP | 2022-08-25 13:03 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki Island) (Primary: On-site, Secondary: Online) |
Computational Cost Reduction in 1-Dimensional Null Space Estimation of Noisy Structured Matrices Natsuki Yoshino, Akira Tanaka (Hokudai) SIP2022-51 |
The structured total least norm method has been proposed for estimating the one-dimensional null space of structured mat... [more] | SIP2022-51 pp.7-12 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 15:00 |
Online | Online | Blind Source Separation based on Independent Low-Rank Matrix Analysis using Restricted Boltzmann Machines Shotaro Furuta, Takuya Kishida, Toru Nakashika (UEC) SP2022-8 |
In this paper, we propose a new blind source separation method that combines independent low-rank source separation (ILR... [more] | SP2022-8 pp.26-29 |
| IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2021-06-04 11:45 |
Online | Online | Frequency-domain Robust Principal Component Analysis Manabu Sueyasu, Seisuke Kyochi (The Univ. of Kitakyushu), Shunsuke Ono (Tokyo Tech) SIP2021-10 BioX2021-10 IE2021-10 |
Low-rank modeling is one of the most effective approaches that can analyze and extract isomorphic components from an obs... [more] | SIP2021-10 BioX2021-10 IE2021-10 pp.46-50 |
| SIP, IT, RCS | 2021-01-22 13:20 |
Online | Online | Acceleration of Fast Multiple Singular Value Thresholding with Fast Inverse Square Root Takayuki Sasaki, Ryuichi Tanida, Kimata Hideaki (NTT) IT2020-104 SIP2020-82 RCS2020-195 |
In this paper, we propose a method for speeding up the singular value thresholding of a small many matrices using the fa... [more] | IT2020-104 SIP2020-82 RCS2020-195 pp.230-234 |
| SP, EA, SIP | 2020-03-03 16:15 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
A Portscan Detection Based on Low-rankness of Destination Port Matrices Hiroki Nousou, Masao Yamagishi, Isao Yamada (Tokyo Tech) EA2019-167 SIP2019-169 SP2019-116 |
The detection of port scans as possible preliminaries to more serious attacks is important for system administrators and... [more] | EA2019-167 SIP2019-169 SP2019-116 pp.385-390 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2019-06-13 16:25 |
Nagasaki | Fukue Culture Center | [Invited Talk]
Image Processing Based on Sparse and Low-rank Modeling Seisuke Kyochi (The Univ. of Kitakyushu) SIS2019-10 |
This paper presents fundamental tools for image recovery by convex optimization and introduces some case study from the ... [more] | SIS2019-10 pp.55-60 |
| MICT | 2019-01-11 13:50 |
Tokyo | Meiji Universtiy (Surugadai Campus) | A Study on Nonlinear Response Characteristics of FH model by Modulated Low-Frequency Electromagnetic Fields Hiroki Shinoda, Daisuke Anzai, Jianqing Wang (NIT) MICT2018-61 |
(To be available after the conference date) [more] | MICT2018-61 pp.11-15 |
| EA, ASJ-H | 2018-08-23 12:55 |
Miyagi | Tohoku Gakuin Univ. | Self-produced speech enhancement and suppression method with wearable air- and body-conductive microphones Moe Takada, Shogo Seki, Tomoki Toda (Nagoya Univ.) EA2018-29 |
This paper presents a self-produced speech enhancement and suppression method for multichannel signals recorded with bot... [more] | EA2018-29 pp.7-12 |
| PRMU, MI, IE, SIP | 2018-05-18 16:00 |
Gifu | [Short Paper]
Ryoma Bise (Kyushu Univ.), Zheng Yinqiang, Imari Sato (NII) SIP2018-17 IE2018-17 PRMU2018-17 MI2018-17 |
Photoacoustic imaging (PAI) is a new imaging technology that can non-invasively visualize blood vessels inside biologica... [more] | SIP2018-17 IE2018-17 PRMU2018-17 MI2018-17 pp.75-79 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
Okinawa | [Poster Presentation]
Blind Source Separation Based on the Sparsity of Impulse Responses Ryota Oda, Daichi Kitahara, Akira Hirabayashi (Ritsumeikan Univ.) EA2017-164 SIP2017-173 SP2017-147 |
We propose a blind source separation (BSS) algorithm using a priori information of the mixing process based on the state... [more] | EA2017-164 SIP2017-173 SP2017-147 pp.341-346 |
|
| RCS, SR, SRW (Joint) |
2018-03-01 10:30 |
Kanagawa | YRP | Field Experimental Evaluation of MIMO Transmission Performance in Quad-directional UE Antenna Configuration for 5G Radio Access System Yuta Takahashi, Yuki Inoue, Shohei Yoshioka, Yoshihisa Kishiyama, Satoshi Suyama, Jun Mashino, Yukihiko Okumura (NTT DOCOMO, INC.) RCS2017-350 |
This paper presents field experiments on the downlink performance of a 5G radio access system employing higher rank MIMO... [more] | RCS2017-350 pp.191-196 |
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