| Presentation | 2021-03-03 A Constrained Alternating Minimization Approach to End-to-End Graph Signal Denoising Eisuke Yamagata, Shunsuke Ono, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a denoising method for smooth graph signals observed on a graph of unknown topology. The proposed method is motivated by GL-SigRep, which can be in interpreted as a denoising method considering that it outputs a denoised signal as well as the learned laplacian. Although GL-SigRep is an effective alternative optimization algorithm for graph learning, its denoising performance is not always optimal due to its regularization parameter, which appears in both denoising and graph learning phase of optimization, making parameter tuning difficult. In this paper, we modify GL-SigRep's formulation to simplify its parameter tuning and illustrate the advantageous experimental results over synthetic data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Graph signal processinggraph signal denoisinggraph learningalternating minimizationconstrained optimization |
| Paper # | EA2020-59,SIP2020-90,SP2020-24 |
| Date of Issue | 2021-02-24 (EA, SIP, SP) |
| Conference Information | |
| Committee | EA / US / SP / SIP / IPSJ-SLP |
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| Conference Date | 2021/3/3(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech, Engineering/Electro Acoustics, Signal Processing, Ultrasonics, and Related Topics |
| Chair | Kenichi Furuya(Oita Univ.) / Hikaru Miura(Nihon Univ.) / Hisashi Kawai(NICT) / Kazunori Hayashi(Kyoto Univ.) / 北岡 教英(豊橋技科大) |
| Vice Chair | Yoshinobu Kajikawa(Kansai Univ.) / Kentaro Matsui(NHK) / Jun Kondo(Shizuoka Univ.) / Yoshikazu Koike(Shibaura Inst. of Tech.) / / Yukihiro Bandou(NTT) / Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) |
| Secretary | Yoshinobu Kajikawa(Univ. of Tokyo) / Kentaro Matsui(NTT) / Jun Kondo(Doshisha Univ.) / Yoshikazu Koike(Tohoku Univ.) / (Univ. of Tokyo) / Yukihiro Bandou(Waseda Univ.) / Toshihisa Tanaka(Hosei Univ.) / (Waseda Univ.) |
| Assistant | Yukou Wakabayashi(Tokyo Metropolitan Univ.) / Tatsuya Komatsu(LINE) / Shinnosuke Hirata(Tokyo Inst. of Tech.) / Yusuke Ijima(NTT) / Yuichi Tanaka(Tokyo Univ. Agri.&Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Engineering Acoustics / Technical Committee on Ultrasonics / Technical Committee on Speech / Technical Committee on Signal Processing / Special Interest Group on Spoken Language Processing |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Constrained Alternating Minimization Approach to End-to-End Graph Signal Denoising |
| Sub Title (in English) | |
| Keyword(1) | Graph signal processinggraph signal denoisinggraph learningalternating minimizationconstrained optimization |
| 1st Author's Name | Eisuke Yamagata |
| 1st Author's Affiliation | Tokyo Institute of Technology(Titech) |
| 2nd Author's Name | Shunsuke Ono |
| 2nd Author's Affiliation | Tokyo Institute of Technology(Titech) |
| Date | 2021-03-03 |
| Paper # | EA2020-59,SIP2020-90,SP2020-24 |
| Volume (vol) | vol.120 |
| Number (no) | EA-397,SIP-398,SP-399 |
| Page | pp.pp.1-4(EA), pp.1-4(SIP), pp.1-4(SP), |
| #Pages | 4 |
| Date of Issue | 2021-02-24 (EA, SIP, SP) |