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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA | 2020-12-14 09:40 |
Online | Online | Sound source separation method for use in live concerts Ryotaro Yamada, Kota Takahashi (UEC)  EA2020-47 |
In live concerts, musical instrument sounds are mixed at vocal microphone, which makes it difficult to mix properly. To ... [more] | EA2020-47 pp.7-12 |
| SIP | 2020-08-28 13:30 |
Online | Online | [Invited Talk]
Image smoothing based on L0 gradient regularization and its applications Ryo Matsuoka (Univ. of Kitakyushu) SIP2020-37 |
This talk outlines research on image processing based on L0 gradient regularization that promotes sparseness in the grad... [more] | SIP2020-37 p.33 |
| NLC | 2017-09-08 10:50 |
Tokyo | Seikei University | Applicability of Structural Topic Model to job search site VOC text analysis
-- Feature selection with Bayesian Network Structure Learning -- Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2017-25 |
We describe the result of examination applying Structural Topic Model and Bayesian net structure learning complementaril... [more] | NLC2017-25 pp.53-58 |
| 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 |
| CAS | 2016-01-28 11:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Multiple omnidirectional sound source tracking using circular microphone array Yusuke Shiiki, Kenji Suyama (Tokyo Denki Univ.) CAS2015-61 |
In this paper, a method for omnidirectional sound source tracking using a circular microphone array is studied. The part... [more] | CAS2015-61 pp.1-6 |
| IBISML | 2015-03-05 13:00 |
Kyoto | Kyoto University | [Invited Talk]
Detection of cheating in Boltzmann machine learning
-- A parameter-free algorithm to sparse solution -- Masayuki Ohzeki (KU) IBISML2014-85 |
We generalize a mathematical model in the item response theory into that in the Boltzmann machine learning to detect “ch... [more] | IBISML2014-85 pp.1-8 |
| MI | 2015-03-02 09:17 |
Okinawa | Hotel Miyahira | 4D-MRI Reconstruction using the low-rank plus sparse matrix decomposition Yukinojo Kitakami, Takashi Ohnishi, Yoshitada Masuda (Chiba Univ. Engineering), Koji Matsumoto (Chiba University Hospital), Hideaki Haneishi (Chiba Univ. Engineering) MI2014-54 |
4D-MRI can visualize and quantify the three-dimensional dynamics of the thoracoabdominal respiratory movement and allows... [more] | MI2014-54 pp.7-11 |
| ICD, IPSJ-ARC | 2015-01-29 16:00 |
Kanagawa | [Invited Talk]
Machine Learning Techniques for Capturing the Essence Hidden in Data Hiroshi Sawada (NTT) ICD2014-113 |
Recent development of information and communications technologies enable us to collect and store massive amount of data.... [more] | ICD2014-113 p.19 |
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| CS, CAS, SIP | 2014-03-06 14:50 |
Osaka | Osaka City University Media Center | Multiple Sound Source Tracking by adding penalty based on MUSIC Masato Hirakawa, Kenji Suyama (Tokyo Denki Univ.) CAS2013-98 SIP2013-144 CS2013-111 |
In this paper, a method for multiple sound source tracking by two microphones is proposed. In our previous work, the sum... [more] | CAS2013-98 SIP2013-144 CS2013-111 pp.47-52 |
| CAS | 2014-02-06 13:35 |
Kanagawa | Nippon Maru Training center | Multiple Sound Source Tracking Based on Speech Sparseness using PSO Masato Hirakawa, Kenji Suyama (Tokyo Denki Univ.) CAS2013-76 |
In this paper, a method for sound source tracking by two microphones is proposed. In this method, PSO (Particle Swarm Op... [more] | CAS2013-76 pp.19-24 |
| MI | 2014-01-27 09:25 |
Okinawa | Bunka Tenbusu Kan | Preliminary study on fast 4D-MRI acquisition by using sparse and low-rank structures Yukinojo Kitakami, Takashi Ohnishi (Chiba Univ), Yoshitada Masuda, Koji Matsumoto (Chiba University Hospital), Hideaki Haneishi (Chiba Univ) MI2013-91 |
4D-MRI can visualize and quantify the three-dimensional dynamics of the thoracoabdominal respiratory movement and allows... [more] | MI2013-91 pp.193-198 |
| RCS, SIP | 2014-01-23 15:40 |
Fukuoka | Kyushu Univ. | A Proposal of Multiple Sound Source Tracking Using 0-1 Reliability Distribution Takeshi Suzuki, Kenji Suyama (Tokyo Denki Univ.) SIP2013-106 RCS2013-276 |
In this paper, a method for multiple sound source tracking using a histogram is studied. A microphone width is extended ... [more] | SIP2013-106 RCS2013-276 pp.123-128 |
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Energy Disaggregation for Appliance Loads Based on Semi-Supervised NMF Yu Fujimoto, Naoki Okubo, Yasuhiro Hayashi (Waseda Univ.), Yoshimasa Sugitate, Shiro Ogata (Omron) IBISML2013-60 |
The authors propose an application of non-negative matrix factorization for the energy disaggregation task. The method i... [more] | IBISML2013-60 pp.185-190 |
| SIP, CAS, MSS, VLD | 2013-07-12 10:50 |
Kumamoto | Kumamoto Univ. | Framewise DOA estimation for a target sound source based on DUET Nobuo Iwasaki, Katsuhiro Inoue (Kyutech), Hiromu Gotanda (Kinki Univ.) CAS2013-22 VLD2013-32 SIP2013-52 MSS2013-22 |
Based on the sparcity of sounds, this paper proposes a frame-wise DOA (direction of arrival) estimation of a target so... [more] |
CAS2013-22 VLD2013-32 SIP2013-52 MSS2013-22 pp.119-124 |
| SIP, CAS, CS | 2013-03-14 10:20 |
Yamagata | Keio Univ. Tsuruoka Campus (Yamagata) | An Extension to Multiple Sound Source Tracking of Sequential Updating Histogram Method Takeshi Suzuki, Kenji Suyama (Tokyo Denki Univ.) CAS2012-110 SIP2012-141 CS2012-116 |
In this paper, a method for multiple sound source tracking based on a sequential updating histogram is studied. In the m... [more] | CAS2012-110 SIP2012-141 CS2012-116 pp.81-86 |
| EA | 2012-06-08 15:10 |
Shizuoka | Yamaha Co. | Performance comparison of MMSE and sparse models in source separation using multichannel Wiener filter Ryutaro Sakanashi, Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Univ. Tsukuba) EA2012-43 |
Multichannel Wiener filter proposed by Duong {\it et al}. can conduct underdetermined blind source separation (BSS) with... [more] | EA2012-43 pp.61-66 |
| SP | 2011-07-23 09:55 |
Hokkaido | Jozankei Grand Hotel | Constrained Spectrum Generation for Mixed Sound Analysis Based on Probabilistic Spectrum Envelope Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2011-50 |
NMF (Non-negative matrix factorization) has been one of the most widely-used techniques for signal analysis in recent ye... [more] | SP2011-50 pp.51-56 |
| MSS, CAS, VLD, SIP | 2011-07-01 16:50 |
Okinawa | Okinawa-Ken-Seinen-Kaikan | How Is Gain of Hybrid Sparse Adaptive Filtering Algorithm Affected by Input Correlation? Osamu Toda, Masahiro Yukawa (Niigata Univ.) CAS2011-32 VLD2011-39 SIP2011-61 MSS2011-32 |
We propose a simple adaptive controlling technique for the weighting parameters that govern the metric employed in the h... [more] | CAS2011-32 VLD2011-39 SIP2011-61 MSS2011-32 pp.181-186 |
| EA | 2010-12-10 14:50 |
Ibaraki | Univ. of Tsukuba | [Invited Talk]
Convolutive blind source separation using time-frequency masks Hiroshi Sawada, Shoko Araki (NTT) EA2010-104 |
A blind source separation method for convolutive mixtures is presented. The method is based on time-frequency masks and... [more] | EA2010-104 pp.43-48 |
| EA | 2010-10-21 14:20 |
Ishikawa | Kanazawa-city Omi-cho Koryu Plaza | Multiple Sound Source Localization Method with Forgetting Factor depending on Variation of Evaluation Function Value Hiroshi Umedu, Kenji Suyama (Tokyo Denki Univ.) EA2010-60 |
In this paper, we study on a multiple sound source localization method using two microphones. In speech signals, there... [more] |
EA2010-60 pp.13-18 |
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