Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, BioX |
2017-03-21 15:00 |
Aichi |
|
Estimation of tool usage based on co-occurrence of part shape of tool and operation Kensho Teranishi, Nobutaka Shimada (Ritsumeikan Univ.) BioX2016-66 PRMU2016-229 |
We propose a method to estimate tool usage from the shape of unknown tool based on co-occurrence of the part shape of to... [more] |
BioX2016-66 PRMU2016-229 pp.197-202 |
MBE, NC (Joint) |
2017-03-13 10:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Experimental Analysis of Real Log Canonical Threshold in Non-negative Matrix Factorization Naoki Hayashi, Sumio Watanabe (Tokyo Tech) NC2016-78 |
For the real log canonical threshold ( RLCT ) that gives the Bayesian generalization error of non-negative matrix factor... [more] |
NC2016-78 pp.85-90 |
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 |
MBE, NC (Joint) |
2016-05-21 11:10 |
Toyama |
University of Toyama |
Yasunori Ozaki, Ryosuke Aoki, Toshitaka Kimura, Youichi Takashima, Tomohiro Yamada (NTT) MBE2016-5 |
(To be available after the conference date) [more] |
MBE2016-5 pp.23-28 |
MI |
2016-01-19 13:20 |
Okinawa |
Bunka Tenbusu Kan |
Development of measurement device of gastrointestinal oxygen saturation using red and near-infrared light Yoshitaka Minami, Takashi Ohnishi (Chiba Univ.), Tomohiro Kurata (Takano Co., Ltd.), Hiroyuki Wasaki (NIT, Kisarazu college), Hiroshi Kawahira, Hideaki Haneishi (Chiba Univ.) MI2015-95 |
In reconstructive and resection surgery of gastrointestinal organ, accurate diagnosis of organ viability is strongly req... [more] |
MI2015-95 pp.105-108 |
EA |
2015-12-11 15:15 |
Ishikawa |
Kanazawa Univ., Satellite Plaza |
[Poster Presentation]
Analysis on Degree of Freedom for Supervised NMF with All-Pole-Model-Based Basis Deformation Hiroaki Nakajima (UTokyo), Daichi Kitamura (SOKENDAI), Norihiro Takamune, Shoichi Koyama, Hiroshi Saruwatari (UTokyo), Nobutaka Ono (NII/SOKENDAI), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2015-42 |
Conventional supervised NMF has the critical problem that a mismatch between the bases trained in advance and the target... [more] |
EA2015-42 pp.13-18 |
IBISML |
2015-11-26 15:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
Nonnegative Matrix Factorization and Positive Semidefinite Tensor Factorization based on Student's t Distributions for Music Signal Analysis Kazuyoshi Yoshii, Katsutoshi Itoyama (Kyoto Univ.), Masataka Goto (AIST) IBISML2015-70 |
This paper presents new probabilistic models of nonnegative matrix factorization (NMF) and positive semidefinite tensor ... [more] |
IBISML2015-70 pp.131-138 |
IBISML |
2015-11-27 14:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
Energy Disaggregation Based on Weighted Semi-Binary NMF Masako Matsumoto, Yu Fujimoto, Yasuhiro Hayashi (Waseda Univ.) IBISML2015-78 |
The authors propose an application of weighted semi-binary non-negative matrix factorization for the energy disaggregati... [more] |
IBISML2015-78 pp.189-194 |
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 |
LOIS |
2015-03-05 10:50 |
Okinawa |
|
Behavior analysis of persons by classification of moving routes Ryo Seto, Masanobu Abe, Sunao Hara (Okayama Univ.) LOIS2014-66 |
In this paper, we propose a method to behavior analysis of persons using GPS data to focus on how human have activity. W... [more] |
LOIS2014-66 pp.31-36 |
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 |
US, EA (Joint) |
2015-01-29 10:15 |
Kyoto |
Doshisha Univ. |
Simultaneous adaptation of time-series a priori statistical model and spectral basis for binaural source separation Yuki Murota (NAIST), Daichi Kitamura (NII), Shoichi Koyama, Hiroshi Saruwatari (The Univ. of Tokyo), Satoshi Nakamura (NAIST) EA2014-64 |
In this paper, we propose a new approach for addressing binaural music signal separation based on the simultaneous adapt... [more] |
EA2014-64 pp.27-32 |
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD (Joint) [detail] |
2014-12-16 11:00 |
Kanagawa |
Tokyo Institute of Technology (Suzukakedai Campus) |
Noise robust speech recognition by non-negative matrix factorization using GMM clustering in MFCC domain Kentaro Fujigaki, Yosuke Kashiwagi, Daisuke Saito, Nobuaki Minematsu, Keikichi Hirose (Univ. of Tokyo) SP2014-113 |
Exemplar-based feature enhancement by non-negative matrix factorization (NMF) was proposed for noise-robust speech recog... [more] |
SP2014-113 pp.69-74 |
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD (Joint) [detail] |
2014-12-16 11:00 |
Kanagawa |
Tokyo Institute of Technology (Suzukakedai Campus) |
Multimodal Voice Conversion using Weighted Features in Noisy Environments Kenta Masaka, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2014-116 |
Voice conversion is a technique for converting specific information in speech while maintaining the other information, s... [more] |
SP2014-116 pp.87-92 |
IBISML |
2014-11-18 15:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
An Infinite Superimposed Discrete All-pole Model based on Gamma Processes for Music Signal Analysis Kazuyoshi Yoshii, Katsutoshi Itoyama (Kyoto Univ.), Masataka Goto (AIST) IBISML2014-60 |
This paper presents a probabilistic model that is used for decomposing music audio signals into the three elements of so... [more] |
IBISML2014-60 pp.191-198 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2014-09-01 10:30 |
Ibaraki |
|
Nonnegative Matrix Factorization using competitive learning Toshio Uchiyama (Hokkaido Info. Univ.) PRMU2014-37 IBISML2014-18 |
Nonnegative Matrix Factorization (NMF) is a popular technique in data processing, and convergence-guranteed multiplicati... [more] |
PRMU2014-37 IBISML2014-18 pp.7-12 |
EA, US (Joint) |
2014-01-28 14:30 |
Osaka |
Kansai University, Centenary Memorial Hall |
Postfilter-based nonnegative matrix factorization with statistical model parameter estimation Yuki Murota, Daichi Kitamura, Shunsuke Nakai, Hiroshi Saruwatari, Satoshi Nakamura (NAIST), Kazunobu Kondo, Yu Takahashi (YAMAHA) EA2013-116 |
(To be available after the conference date) [more] |
EA2013-116 pp.75-80 |
EA, US (Joint) |
2014-01-28 14:55 |
Osaka |
Kansai University, Centenary Memorial Hall |
Depth estimation of sound images in mixed sound source using activation shared nonnegative matrix factorization Tomo Miyauchi, Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura (NAIST) EA2013-117 |
Wave field synthesis (WFS) is a technique for realizing high quality sound reproduction. However, WFS requires specific ... [more] |
EA2013-117 pp.81-86 |
SP, IPSJ-SLP |
2013-12-19 16:50 |
Tokyo |
|
Voice Conversion based on Non-negative Matrix Factorization with Segment Features in Noisy Environments Takao Fujii, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ) SP2013-87 |
This paper presents a voice conversion based on NMF for noisy environments.
We prepared parallel exemplars that consist... [more] |
SP2013-87 pp.77-82 |
IBISML |
2013-11-12 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
A Study On Multiple Matrix Factorization Masahiro Kohjima, Kenji Esaki, Noriko Takaya, Hiroshi Sawada (NTT) IBISML2013-50 |
In this study, we propose new matrix factorization methods for multiple matrices. The research to analyze multiple data ... [more] |
IBISML2013-50 pp.107-114 |