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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 114  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMM 2023-03-02
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] Watermark Extraction Method Using BSS -- Improving Image Quality Using Inter-frame Difference --
Nao Harada, Rinka Kawano, Masaki Kawamura (Yamaguchi Univ.) EMM2022-80
To improve the quality of stego-videos, we consider embedding method of watermarks in blocks where the differences betwe... [more] EMM2022-80
SIS 2023-03-02
Chiba Chiba Institute of Technology
(Primary: On-site, Secondary: Online)
Blink detection from one-dimensional face signal by using convolutional sparse dictionary learning
Souichiro Maruyama, Makoto Nakashizuka (CIT) SIS2022-40
In this report, a blink detection method from average intensities of whole facial videos using convolutional dictionary... [more] SIS2022-40
CAS, CS 2023-03-01
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
Approximate joint diagonalization for blind separation of superimposed images
Shinya Saito, Kunio Oishi (Tokyo University of Tech.) CAS2022-98 CS2022-75
This report presents blind separation of superimposed images. When we take a picture for panorama thought window glass a... [more] CAS2022-98 CS2022-75
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
(Primary: On-site, Secondary: Online)
Regularization Term Design Based on Spectrogram Consistency in Independent Low-Rank Matrix Analysis for Multichannel Audio Source Separation
Sota Misawa, Norihiro Takamune (UTokyo), Kohei Yatabe (TUAT), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2022-105 SIP2022-149 SP2022-69
It is known that block permutation occurs in the separated signals obtained by independent low-rank matrix analysis. Rec... [more] EA2022-105 SIP2022-149 SP2022-69
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
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-17
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
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-18
Online Online Unsupervised Training of Sequential Neural Beamformer Using Blindly-separated and Non-separated Signals
Kohei Saijo, Tetsuji Ogawa (Waseda Univ.) SP2022-25
We present an unsupervised training method of the sequential neural beamformer (Seq-NBF) using the separated signals fro... [more] SP2022-25
EA 2022-05-13
Online Online Fast Blind Source Separation in Noisy Reverberant Environments Using Independent Vector Extraction
Rintaro Ikeshita, Tomohiro Nakatani (NTT) EA2022-5
Blind source separation (BSS) is a technique of separating and extracting individual source signals only from their mixt... [more] EA2022-5
EA 2022-05-13
Online Online Basic study for permutation solver based on deep neural networks
Fumiya Hasuike, Rui Watanabe, Daichi Kitamura (NIT, Kagawa) EA2022-13
This paper focuses on a permutation problem associated with frequency-domain independent component analysis (FDICA) that... [more] EA2022-13
(Joint) [detail]
Online Online Fetal Heart Rate Detection via Maternal ECG Cancellation by Neural-Network Autoencoder
Abuzar Ahmad Qureshi, Lu Wang, Tomoaki Ohtsuki (Keio Univ.), Kazunari Owada, Hayato Hayashi (Atom Medical Co.) NLP2021-123 MICT2021-98 MBE2021-84
Fetal heart rate (HR) monitoring is necessary for accessing the state of the fetus during pregnancy and labor. Non-invas... [more] NLP2021-123 MICT2021-98 MBE2021-84
RCS, SIP, IT 2022-01-21
Online Online Simultaneous matrix diagonalization using alternating least-squares algorithm
Shinya Saito, Kunio Oishi (Tokyo University of Tech.) IT2021-73 SIP2021-81 RCS2021-241
This paper presents an approach for overdetermined blind source separation (BSS) using AJD. The approach is constructed ... [more] IT2021-73 SIP2021-81 RCS2021-241
ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] 2021-08-25
Online Online Extraction of watermarks from video frames by using BSS
Akane Yokota, Masaki Kawamura (Yamaguchi Univ.) LOIS2021-17 IE2021-12 EMM2021-47
We propose a method for extracting watermarks additively
embedded in video frames by using blind source separation (BS... [more]
LOIS2021-17 IE2021-12 EMM2021-47
SIP 2021-08-24
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
SIS, IPSJ-AVM 2021-06-24
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
SP, IPSJ-SLP, IPSJ-MUS 2021-06-19
Online Online Source Separation for Asynchronous Recordings of Conversation Using Time-Frequency Masking and Independent Vector Analysis
Haruki Nammoku, Kouei Yamaoka, Yukoh Wakabayashi, Nobutaka Ono (TMU) SP2021-22
In this study, we investigate the source separation for conversational speech recorded by multiple voice recorders that ... [more] SP2021-22
EMM 2020-03-05
(Cancelled but technical report was issued)
[Poster Presentation] Proposal of BSS-based video watermarking method using similarity between frames
Akane Yokota, Masaki Kawamura (Yamaguchi Univ.) EMM2019-105
Movies are composed of sequential still images, and similarity between consecutive frames is very high. 
In this work, w... [more] EMM2019-105
SP, EA, SIP 2020-03-02
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Multichannel NMF with Joint-Diagonalizable Constraint Based on Generalized Gaussian Distribution for Blind Source Separation
Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT Kagawa), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-103 SIP2019-105 SP2019-52
Multichannel nonnegative matrix factorization (MNMF) is a blind source separation technique, which employs the full-rank... [more] EA2019-103 SIP2019-105 SP2019-52
EA 2019-12-13
Fukuoka Kyushu Inst. Tech. Rank-constrained spatial covariance matrix estimation based on multivariate complex generalized Gaussian distribution and its acceleration for blind speech extraction
Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2019-78
In this paper, we generalize a generative model in rank-constrained spatial covariance matrix estimation that separates ... [more] EA2019-78
EA, ASJ-H 2019-10-28
Tokyo NHK Science&Technology Research Lab. FastMNMF based on multivariant complex Student's t distribution for blind source separation
Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa NCIT), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-40
FastMNMF is a blind source separation technique, which is an accelerated algorithm of multichannel nonnegative matrix fa... [more] EA2019-40
RCS 2019-10-25
Kanagawa Yokosuka Research Park [Encouragement Talk] Nonlinear Feature Extraction by epsilon -Vanishing Polynomial Networks Learning and Underdetermined BSS
Lu Wang, Tomoaki Ohtsuki (Keio Univ.) RCS2019-202
Similar to the deep architectures, a novel multi-layer architecture is used to extend the linear blind source separation... [more] RCS2019-202
 Results 1 - 20 of 114  /  [Next]  
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