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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| SIP | 2021-08-24 10:00 |
Online | Online | [Invited Talk]
Audio source separation based on independent low-rank matrix analysis and its extensions Daichi Kitamura (NIT Kagawa) SIP2021-32 |
Audio source separation is a technique for separating individual audio sources from an observed mixture signal. In parti... [more] | SIP2021-32 pp.19-24 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 13:50 |
Online | Online | Simplification of Average Consensus Algorithm in Distributed HALS Algorithm for NMF Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2021-3 IBISML2021-3 |
Nonnegative Matrix Factorization (NMF) is the process of approximating a given nonnegative matrix by the product of two ... [more] | NC2021-3 IBISML2021-3 pp.15-22 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 14:15 |
Online | Online | Modification of Optimization Problem in Randomized NMF and Design of Optimization Method based on HALS Algorithm Takao Masuda, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2021-4 IBISML2021-4 |
Nonnegative matrix factorization (NMF) is the process of decomposing a given nonnegative matrix into two nonnegative fac... [more] | NC2021-4 IBISML2021-4 pp.23-30 |
| SIS, IPSJ-AVM | 2021-06-24 14:15 |
Online | Online | [Tutorial Lecture]
Noise Reduction using Nonnegative Matrix Factorization Motoaki Mour (Aichi Univ.) SIS2021-9 |
Nonnegative matrix factorization (NMF) is a general term for methods that factorize a matrix into two or more matrices w... [more] | SIS2021-9 pp.49-54 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-04 10:15 |
Online | Online | A quantitative measure of discriminability between NMF dictionaries Eisuke Konno, Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2020-82 SIP2020-113 SP2020-47 |
Supervised nonnegative matrix factorization (NMF) is a popular approach for monaural audio source separation. It realize... [more] | EA2020-82 SIP2020-113 SP2020-47 pp.134-139 |
| MSS, CAS, IPSJ-AL [detail] | 2020-11-25 17:00 |
Online | Online | Distributed Algorithms based on Multiplicative Update Rules for Nonnegative Matrix Factorization Yohei Domen, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) CAS2020-24 MSS2020-16 |
Nonnegative matrix factorization (NMF) is a multivariate method that approximates a given nonnegative matrix by the prod... [more] | CAS2020-24 MSS2020-16 pp.28-33 |
| NC, MBE (Joint) |
2020-03-05 14:40 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
A method for sound source separation using the onset information based on the NMF with deformable bases Shota Uchida, Susumu Kuroyanagi (NITech) NC2019-98 |
Currently, the NMF with deformable bases has been proposed as a model for learning the sequences of frequency spectrum f... [more] | NC2019-98 pp.131-136 |
| 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 |
| IE, EMM, LOIS, IEE-CMN, ITE-ME, IPSJ-AVM [detail] | 2019-09-20 15:25 |
Niigata | Tokimeito, Niigata University | Analysis of Daily Activities and Intervention Acceptability Using Nonnegative Tensor Factorization Masahiro Kohjima, Masami Takahashi, Takeshi Kurashima, Tatsushi Matsubayashi, Hiroyuki Toda (NTT) LOIS2019-18 IE2019-31 EMM2019-75 |
In order to improve people's lifestyles to prevent lifestyle-related diseases, it is important to understand not only th... [more] | LOIS2019-18 IE2019-31 EMM2019-75 pp.97-102 |
| EA, SIP, SP | 2019-03-14 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
An Initialization Method for Multichannel Nonnegative Matrix Factorization using Nonnegative Independent Component Analysis Takahiro Ushijima, Takanobu Uramoto, Shingo Uenohara, Ken'ichi Furuya (Oita Univ.) EA2018-105 SIP2018-111 SP2018-67 |
Recently, devices that handle voice have become widely used, and there is a demand for a technique to extract only the t... [more] | EA2018-105 SIP2018-111 SP2018-67 pp.37-42 |
| OFT, OCS, OPE (Joint) [detail] |
2019-02-15 14:25 |
Fukuoka | Maximum and Minimum strain extraction from BGS observations including noise and optical loss using nonnegative matrix factorization Takuya Fujimoto, Hiroshi Naruse (Mie Univ.), Takanori Nishino (Meijo Univ.) OFT2018-81 OPE2018-210 |
We have proposed a method for extracting the maximum and minimum strains produced in a Brillouin gain spectrum (BGS) obs... [more] | OFT2018-81 OPE2018-210 pp.57-62(OFT), pp.89-94(OPE) |
|
| 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 |
| OFT | 2018-10-11 16:00 |
Miyagi | Touhoku Univ. | [Poster Presentation]
Maximum and Minimum strain extraction from Brillouin gain spectrum using nonnegative matrix factorization Takuya Fujimoto, Hiroshi Naruse (Mie Univ.), Takanori Nishino (Meijo Univ.) OFT2018-48 |
A fiber optic strain measurement based on the Brillouin scattering phenomenon enables a distributed strain measurement a... [more] | OFT2018-48 pp.157-161 |
| NLP | 2018-08-09 09:30 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. | Derivation and Experimental Evaluation of a Novel Nonnegative Matrix Factorization Algorithm for Discovering Communities Yoshito Usuzaka, Norikazu Takahashi (Okayama Univ.) NLP2018-64 |
Community discovery is an important technique for a better understanding of the structure of a network. We consider the ... [more] | NLP2018-64 pp.57-62 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:00 |
Okinawa | [Poster Presentation]
Performance Evaluation of Initial Value Setting Method for Spatial Correlation Matrices in Multi-channel NMF Yu Tajima, Akira Tanaka (Hokkaido Univ.) EA2017-130 SIP2017-139 SP2017-113 |
The multi-channel nonnegative matrix factorization (MNMF) is an extension of the single-channel nonnegative matrix facto... [more] | EA2017-130 SIP2017-139 SP2017-113 pp.161-162 |
|
| 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 |
| EA | 2018-02-16 13:10 |
Hiroshima | Pref. Univ. Hiroshima | The effect of increasing the number of channels with multi-channel non-negative matrix factorization for noisy speech recognition Takanobu Uramoto (Oita Univ.), Youhei Okato, Toshiyuki Hanazawa (Mitsubishi Electric), Iori Miura, Shingo Uenohara, Ken'ich Furuya (Oita Univ.) EA2017-99 |
Nonnegative Matrix Factorization (NMF) factorizes a non-negative matrix into two non-negative matrices. In the field of ... [more] | EA2017-99 pp.33-38 |
| EA, ASJ-H | 2017-10-22 09:00 |
Toyama | Ushidake-Onsen | [Invited Talk]
Blind source separation based on independent low-rank matrix analysis Daichi Kitamura (UT), Nobutaka Ono (NII), Hiroshi Sawada, Hirokazu Kameoka (NTT), Hiroshi Saruwatari (UT) EA2017-56 |
In this paper, we propose a new effective algorithm for blind source separation problem (BSS) called independent low-ran... [more] | EA2017-56 pp.73-80 |
| WIT, SP | 2017-10-19 13:20 |
Fukuoka | Tobata Library of Kyutech (Kitakyushu) | Speech enhancement of utterance while playing with werewolf game "JINRO" based on NMF Shunsuke Kawano, Toru Takahashi (OSU) SP2017-35 WIT2017-31 |
We describe that speech enhancement for natural and multi speaker dialognue. To record natural and multi speaker dialogn... [more] | SP2017-35 WIT2017-31 pp.7-12 |
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