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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 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Simultaneous Estimation of Transfer Coefficients and Signals of Sound-to-Light Conversion Device Blinky Under Saturation Using Non-negative Matrix Factorization Kosuke Nishida, Natsuki Ueno, Nobutaka Ono (TMU), Daichi Kitamura (Kagawa NCT)  EA2023-65 SIP2023-112 SP2023-47 |
In this study, we propose a method to estimate the intensity of optical signals emitted by sound-to-optical conversion d... [more] | EA2023-65 SIP2023-112 SP2023-47 pp.25-30 |
| NLP, MSS | 2023-03-17 14:30 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Global Convergence Analysis of Distributed HALS Algorithm for Nonnegative Matrix Factorization Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2022-104 NLP2022-149 |
As a fast computational method for Nonnegative Matrix Factorization (NMF), the Hierarchical Alternating Least Squares ... [more] |
MSS2022-104 NLP2022-149 pp.198-203 |
| NLP, MSS | 2023-03-17 14:50 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Reformulation of Optimization Problem in Randomized NMF and Proposal of A Novel Iterative Update Algorithm Takao Masuda, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2022-105 NLP2022-150 |
As an approach to efficiently perform large-scale Nonnegative Matrix Factorization (NMF), a randomized NMF was recently ... [more] | MSS2022-105 NLP2022-150 pp.204-209 |
| 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 |
| ICSS | 2022-11-08 09:50 |
Hokkaido | Hokkaido Jichiro Kaikan (Primary: On-site, Secondary: Online) |
Tracing Methodology for Scanning Campaigns Based on Darknet Analysis Chansu Han, Akira Tanaka, Takeshi Takahashi (NICT), Jun'ichi Takeuchi (QU) ICSS2022-43 |
(To be available after the conference date) [more] | ICSS2022-43 pp.31-36 |
| 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 |
| MSS, NLP | 2022-03-29 13:50 |
Online | Online | Classification of power spectra of EEG by non-negative matrix factorization Kazuki Koyama, Mariko Ito (Rikkyo Univ.), Masanori Sakaguchi (Univ. Tsukuba), Takaaki Ohnishi (Rikkyo Univ.) MSS2021-76 NLP2021-147 |
It has been common for experts to manually and subjectively classify sleep stages in the experiments for the sleep of mi... [more] | MSS2021-76 NLP2021-147 pp.111-116 |
| 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 13:25 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Non-Negative Matirx Factrization for 2D-XAS Images of Lithium Ion Batteries Hiroki Tanimoto (Tokyo Tech), Masaishiro Mizumaki (JASRI), Yoshiki Seno (Saga prefectural regional industry support center), Ichiro Akai (Kumamoto Univ.), Toru Aonishi (Tokyo Tech) NC2019-95 |
Lithium ion batteries used in a wide variety of fields such as mobile devices and electric vehicles, and their performan... [more] | NC2019-95 pp.113-118 |
| 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 |
| AI | 2020-02-14 17:10 |
Shimane | Izumo Campus, Shimane University | Customer Analysis Based on Benefit Segmentation Using a t-SNE Fumiaki Saitoh (CIT) AI2019-53 |
Understanding customer characteristics based on data is an important issue in marketing areas such as new product develo... [more] | AI2019-53 pp.61-66 |
| CQ, CBE (Joint) |
2020-01-17 14:00 |
Tokyo | NHK Science & Technology Research Laboratories | A study sound source separation method for recorded multiple sounds Satoru Jomae, Kenko Ota, Hideaki Yoshino (NIT) CQ2019-131 |
It is useful to separate multiple sounds into single sounds in order to improve the accuracy of fundamental frequency an... [more] | CQ2019-131 pp.137-140 |
| 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 |
| CQ | 2019-07-18 13:00 |
Niigata | Niigata Univ. | [Poster Presentation]
A study of source separation method for non-negative matrix factorization using machine learning Satoru Jomae, Kenko Ota, Hideaki Yoshino (NIT) CQ2019-48 |
We proposed a sound source separation method which consists of Non-negative matrix factorization and deep neural network... [more] | CQ2019-48 pp.63-64 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-18 10:50 |
Okinawa | Okinawa Institute of Science and Technology | A sleep state analysis from calcium imaging data using non-negative matrix factorization Mizuo Nagayama, Toshimitsu Aritake (Waseda Univ.), Hideitsu Hino (ISM), Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) NC2019-14 IBISML2019-12 |
Sleep is an essential process for the survival of animals, however, its phenomenon is poorly understood. We aim to disco... [more] | NC2019-14 IBISML2019-12 pp.57-61(NC), pp.79-83(IBISML) |
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