| Project Area | Initiative for High-Dimensional Data-Driven Science through Deepening of Sparse Modeling |
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| Project/Area Number |
15K21718
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| Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
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| Allocation Type | Multi-year Fund |
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| Review Section |
Complex systems
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| Research Institution | The University of Tokyo |
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Principal Investigator |
Okada Masato 東京大学, 大学院新領域創成科学研究科, 教授 (90233345)
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| Co-Investigator(Kenkyū-buntansha) |
駒井 武 東北大学, 環境科学研究科, 教授 (30357024)
富樫 かおり 京都大学, 医学研究科, 教授 (90135484)
福水 健次 統計数理研究所, 数理・推論研究系, 教授 (60311362)
本間 希樹 国立天文台, 水沢VLBI観測所, 教授 (20332166)
宮本 英昭 東京大学, 大学院工学系研究科(工学部), 教授 (00312992)
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| Co-Investigator(Renkei-kenkyūsha) |
Okada Tomohisa 京都大学, 医学研究科, 特定准教授 (30321607)
Fujimoto Koji 京都大学, 医学研究科, 特定助教 (10580110)
Kuwatani Tatsu 海洋研究開発機構, 地球内部物質循環研究分野, 研究員 (60646785)
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| Research Collaborator |
Chandarana Hersh New York Univ.
Cloos Martijn A. New York Univ.
Chague-goff Chatherine New South Wales University
Sriperumbudur Bharath Pennsylvania State University
Gretton Arthur University College London
Jitkrittum Wittawat University College London
Muandet Krikamol Mahidol University
Akiyama Kazunori Massachusetts Institute of Technology
Doeleman Shep Harvard-Smithsonian Center for Astrophysics
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| Project Period (FY) |
2015-11-06 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥39,130,000 (Direct Cost: ¥30,100,000、Indirect Cost: ¥9,030,000)
Fiscal Year 2017: ¥14,040,000 (Direct Cost: ¥10,800,000、Indirect Cost: ¥3,240,000)
Fiscal Year 2016: ¥14,430,000 (Direct Cost: ¥11,100,000、Indirect Cost: ¥3,330,000)
Fiscal Year 2015: ¥10,660,000 (Direct Cost: ¥8,200,000、Indirect Cost: ¥2,460,000)
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| Keywords | スパースモデリング / データ駆動科学 / 津波堆積物 / 火星リモートセンシング / 磁気共鳴医学 / 巨大ブラックホールの撮像 / MRI画像 / 地球化学調査 / 地球科学 / 惑星科学 |
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| Outline of Final Research Achievements |
Medicine Group realized reconstruction of multi-phase respiratory and MR fingerprinting images from sparsely sampled data. In the research of geo-sciences, the advanced techniques of sparse modeling have been developed and made great progress in order to utilize domestic and overseas tsunami data acquisition in the international research program. Planetary Science Group applied the SpM techniques to a series of remote-sensing data of Mars, which helped geological interpretations. Results include identifications tsunami deposits on Mars and processes forming Noctis Labyrinthus. In astronomy group, we have conducted black hole imaging observations and data analysis under international collaboration and demonstrated that the angular resolution necessary for direct imaging of black hole shadows has been achieved. Semiparametric Bayes Group has conducted international collaborations which developed new methods for integral approximations and kernel mean embeddings.
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