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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| SP | 2017-08-30 11:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
Investigation of performance difference by characteristics of instrument sound for specific musical instrument sound extraction based on NMF Saki Umeda, Hideki Banno, Kensaku Asahi (Meijo Univ.) SP2017-27 |
Music sound signal contains many instrument sounds, however, it is difficult for amateur musicians to differentiate the ... [more] | SP2017-27 pp.37-38 |
| EA, ASJ-H | 2017-07-21 13:40 |
Hokkaido | Hokkaido Univ. | [Poster Presentation]
ILRMA with complex Student's t source model Shinichi Mogami, Daichi Kitamura, Norihiro Takamune, Yoshiki Mitsui, Hiroshi Saruwatari (Univ. of Tokyo), Nobutaka Ono (NII), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2017-23 |
(To be available after the conference date) [more] | EA2017-23 pp.131-136 |
| 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 |
| 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 |
| SP, SIP, EA | 2017-03-01 12:40 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
Performance Evaluation of Initial Value Setting Method for Multi-channel NMF Using Single-channel NMF Yu Tajima, Akira Tanaka (HU) EA2016-93 SIP2016-148 SP2016-88 |
The multi-channel nonnegative matrix factorization (MNMF) is an extension of the single-channel nonnegative matrix facto... [more] | EA2016-93 SIP2016-148 SP2016-88 pp.67-70 |
| EA, US (Joint) |
2017-01-25 13:00 |
Kyoto | Doshisha Univ. | [Poster Presentation]
Study on efficient solver for independent low-rank matrix analysis with sparse time-series-activity regularization Yoshiki Mitsui (Univ. Tokyo), Daichi Kitamura (SOKENDAI), Shinnosuke Takamichi (Univ. Tokyo), Nobutaka Ono (NII/SOKENDAI), Hiroshi Saruwatari (Univ. Tokyo) EA2016-72 |
In this paper, we propose a new blind source separation (BSS) method based on independent low-rank matrix analysis (ILRM... [more] | EA2016-72 pp.25-30 |
| IT, SIP, RCS | 2017-01-20 10:50 |
Osaka | Osaka City Univ. | A New Iterative Method for Nonnegative Matrix Factorization with Sparsity and Smoothness and Its Global Convergence Takumi Kimura, Norikazu Takahashi (Okayama Univ.) IT2016-93 SIP2016-131 RCS2016-283 |
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] | IT2016-93 SIP2016-131 RCS2016-283 pp.273-278 |
| MI | 2017-01-18 15:48 |
Okinawa | Tenbusu Naha | [Short Paper]
PET image analysis using sparse nonnegative matrix factorization for accumulation model survey of amyloid beta Tatsuya Nagata, Hidekata Hontani, Tatsuya Yokota (NIT), Yuchi Kimura (Kindai Univ.), Koichi Ito (Tohoku Univ.), Takashi Kato, Kaori Iwata, Akinori Nakamura (NCGG) MI2016-117 |
(To be available after the conference date) [more] | MI2016-117 pp.183-184 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
A real log canonical threshold of nonnegative matrix factorization and its application to Bayesian learning Naoki Hayashi, Sumio Watanabe (Tokyo Tech) IBISML2016-76 |
In nonnegative matrix factorization(NMF)，we deal with problems that we predict a data matrix as a product of two nonne... [more] |
IBISML2016-76 pp.215-220 |
| EA, SP, SIP | 2016-03-29 13:15 |
Oita | Beppu International Convention Center B-ConPlaza | Effective basis learning for sound source separation by semi-supervised nonnegative matrix factorization Daichi Kitamura (SOKENDAI), Nobutaka Ono (NII/SOKENDAI), Hiroshi Saruwatari (UT), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2015-130 SIP2015-179 SP2015-158 |
This paper addresses a sound source separation problem and proposes an effective basis learning method for semi-supervis... [more] | EA2015-130 SIP2015-179 SP2015-158 pp.355-360 |
| RCS, IT, SIP | 2016-01-18 10:35 |
Osaka | Kwansei Gakuin Univ. Osaka Umeda Campus | Multiplicative Update for Nonnegative Matrix Factorization based on Generalized Error Function and Its Global Convergence Masato Seki, Norikazu Takahashi (Okayama Univ.) IT2015-59 SIP2015-73 RCS2015-291 |
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] | IT2015-59 SIP2015-73 RCS2015-291 pp.67-72 |
| IBISML | 2015-11-27 14:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Nonnegative matrix factorization of test scores Atsunori Kanemura (AIST), Hiroko Onari, Manabu Shikauchi, Masataka Hashimoto (Recruit Career), Shotaro Akaho (AIST) IBISML2015-80 |
When assessing skills of humans or designing itemsets, having fewer number of items is cost-efficient both in time and m... [more] | IBISML2015-80 pp.203-208 |
| MBE, NC (Joint) |
2015-11-20 15:20 |
Miyagi | Tohoku University | Muscle synergy recruitment during arm movements in patients with hemiparesis Toshihiro Kawase (Tokyo Inst. of Tech.), Atsuko Nishimura, Atsuko Nishimoto, Fumio Liu (Keio Univ.), Hiroyuki Kambara, Natsue Yoshimura, Yasuharu Koike (Tokyo Inst. of Tech.) NC2015-38 |
Previous studies have suggested that many muscles in the human body are controlled by combination of fewer muscle synerg... [more] | NC2015-38 pp.13-18 |
| NLP, CAS | 2015-10-05 11:35 |
Hiroshima | Aster Plaza | Derivation of Multiplicative Update for Constrained Optimization Problems Related to NMF and Its Global Convergence Analysis Masato Seki, Norikazu Takahashi (Okayama Univ.) CAS2015-24 NLP2015-85 |
Nonnegative matrix factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] | CAS2015-24 NLP2015-85 pp.21-26 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2015-09-15 10:45 |
Ehime | Improvement of nonnegative matrix factorization for probabilistic latent semantic analysis Toshio Uchiyama (HIU) PRMU2015-83 IBISML2015-43 |
Nonnegative Matrix Factorization (NMF) is equivalent to PLSA (Probabilistic Latent Semantic Analysis), when it uses ge... [more] |
PRMU2015-83 IBISML2015-43 pp.117-122 |
|
| CAS, SIP, MSS, VLD, SIS [detail] | 2014-07-11 16:40 |
Hokkaido | Hokkaido University | Derivation of New Update Rules based on KL, Gamma, Renyi Divergences for Nonnegative Matrix Factorization Masato Seki, Norikazu Takahashi (Okayama Univ) CAS2014-47 VLD2014-56 SIP2014-68 MSS2014-47 SIS2014-47 |
Three new update rules based on Kullback-Leibler divergence, gamma-divergence and Renyi divergence for nonnegative matr... [more] | CAS2014-47 VLD2014-56 SIP2014-68 MSS2014-47 SIS2014-47 pp.253-258 |
| LOIS, IPSJ-CN, IPSJ-SPT | 2014-05-15 13:30 |
Tokyo | Working Patterns Extractions by Applying Nonnegative Matrix Factorization to PC Operation Logs Akihiko Hirayama, Sunao Hara, Masanobu Abe (Okayama Univ.) LOIS2014-2 |
In this paper, we tried to extract working patterns by nonnegative matrix factorization using PC operation logs. Experim... [more] | LOIS2014-2 pp.33-38 |
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