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 |
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 |