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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMM 2024-03-03
10:00
Overseas Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency [Poster Presentation] Proposal of additive video watermarking method with distributed watermark embedding -- Performance comparison between extraction methods using BSS and frame-to-frame difference --
Nao Harada, Rinka Kawano, Masaki Kawamura (Yamaguchi Univ.) EMM2023-95
To improve the quality of stego-video, it is necessary to reduce the amount of watermark embedded in a frame. We propose... [more] EMM2023-95
pp.34-39
ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] 2021-08-25
13:25
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
pp.7-12
SIS, IPSJ-AVM 2021-06-24
14:15
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
pp.49-54
EMM 2020-03-05
14:25
Okinawa
(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
pp.19-24
MBE, NC
(Joint)
2017-11-25
15:10
Miyagi Tohoku University Ensemble Learning with Feature Extraction for EEG Signal Discrimination using Source Separation
Shuichi Nishino, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2017-36
BCI allows a user to control external devices and to communicate with other people by measuring and discriminating EEG. ... [more] NC2017-36
pp.49-52
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 2013-03-14
10:20
Chiba Nishi-Chiba campus, Chiba Univ. A Nonlinear Blind Source Separation using a Ring Particle Swarm Optimization Algorithm
Takuya Kurihara, Kenya Jin'no (Nippon Inst. of Tech) NLP2012-146
Blind source separation (BSS) is a technique for recovering an original source signal from mixing signals without the ai... [more] NLP2012-146
pp.13-18
CAS, SIP, VLD 2005-06-27
11:10
Miyagi Tohoku University Analysis of Signal Separation and Signal Distortion in Feedforward and Feedback Blind Source Separation Based on Source Spectra
Akihide Horita, Kenji Nakayama, Akihiro Hirano (Kanazawa Univ.)
Source separation and signal distortion in three kinds of blind soure separation (BSS) systems with convolutive mixture ... [more] CAS2005-5 VLD2005-16 SIP2005-29
pp.25-30
EA, SIP 2005-05-19
16:20
Hyogo   Blind signal separation on a time-frequency space -- with examples --
Akira Morimoto (Osaka Kyoiku Univ.), Keiko Fujita (Saga Univ.), Ryuichi Ashino (Osaka Kyoiku Univ.)
The spatial mixture problem is considered. The estimation of the number of sources and source separation are given. We a... [more] EA2005-11 SIP2005-16
pp.31-36
SIP 2005-01-21
09:25
Aichi Nagoya Institute of Technology A Signal Distortion Control Learning Algorithm for Feed-forward Blind Source Separation
Akihide Horita, Kenji Nakayama, Akihiro Hirano, Yasuhiro Dejima (Kanazawa Univ.)
Source separation and signal distortion in three kinds of BSSs with convolutive mixture are analyzed. They include a fee... [more] SIP2004-111
pp.7-12
WBS, SIP 2004-07-22
16:10
Niigata NICO PLAZA, Niigata フィードフォワード形及びフィードバック形BSSの収束性に関する比較
Akihide Horita, Yasuhiro Dejima, Kenji Nakayama, Akihiro Hirano (Kanazawa Univ.)
This paper analyzes and compares signal separation, convergence speed and signal distortion in both a feedforward blind ... [more] WBS2004-25 SIP2004-44
pp.57-62
 Results 1 - 11 of 11  /   
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