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Study on the data-driven fusion of nonparametric and sparse modeling

Research Project

Project/Area Number 16K16108
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Intelligent informatics
Research InstitutionThe Institute of Statistical Mathematics (2018)
University of Tsukuba (2016-2017)

Principal Investigator

Hino Hideitsu  統計数理研究所, モデリング研究系, 准教授 (10580079)

Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2018: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywords機械学習 / ノンパラメトリックモデル / スパースモデリング / 応用統計 / ノンパラメトリック / スパース
Outline of Final Research Achievements

Throughout the research period, we developed several component technologies to realize the concept of the fusion of nonparametric and sparse modeling. We developed a non-parametric mixture distribution estimation method in the framework of information geometry, an intrinsic dimension estimation method based on the generalized linear modeling. We have developed an image super-resolution method and an estimation method of latent graph structure. We also applied conventional and tailored methods to several fields of science. Particularly we collaborated with geoscientists as originally planned to analyse slow slip earthquakes and classification of magma tectonic fields. We also collaborated with material scientists and developed a method for accelarating the X-ray spectroscopy microscope measurement. Also, through the cooperation with researchers in electrophysiological measurements, we proposed a method for estimation of nerve cell connections based on partially observed signals.

Academic Significance and Societal Importance of the Research Achievements

古典的なデータ解析・統計手法が開発された時点とは質・量ともに異なるデータを扱うための新たなデータ解析手法の開発は,工学にとっても科学にとっても喫緊の課題である.データに特定の分布を仮定しないノンパラメトリックモデルは計算・メモリコストが高い.大規模高次元データに適用可能な疎表現アプローチはモデルとして柔軟さに欠ける.本研究課題では,ノンパラメトリックモデルとスパースモデルの融合を目指し,ノンパラメトリック手法,スパースモデリング手法それぞれで新たな手法を開発し,地球科学,材料科学,情報科学の諸問題に適用して学術的知見の発見,計測技測度の向上を実現した.

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (37 results)

All 2018 2017 2016

All Journal Article (10 results) (of which Peer Reviewed: 10 results,  Open Access: 7 results,  Acknowledgement Compliant: 3 results) Presentation (26 results) (of which Int'l Joint Research: 9 results,  Invited: 1 results) Book (1 results)

  • [Journal Article] Geochemcal discrimination and characteristics of magmatic tectonic settings; a machine learning approach2018

    • Author(s)
      K. Ueki, H. Hino, T. Kuwatani
    • Journal Title

      Geochemistry,Geophysics,Geosystems

      Volume: 19 Issue: 4 Pages: 1-21

    • DOI

      10.1029/2017gc007401

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Estimation of neural connections from partially observed neural spikes2018

    • Author(s)
      Iwasaki Taishi、Hino Hideitsu、Tatsuno Masami、Akaho Shotaro、Murata Noboru
    • Journal Title

      Neural Networks

      Volume: 108 Pages: 172-191

    • DOI

      10.1016/j.neunet.2018.07.019

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Adaptive design of an X-ray magnetic circular dichroism spectroscopy experiment with Gaussian process modelling2018

    • Author(s)
      Tetsuro Ueno, Hideitsu Hino, Ai Hashimoto, Yasuo Takeichi, Masahiro Sawada, Kanta Ono
    • Journal Title

      npj Computational Materials

      Volume: 4 Issue: 1 Pages: 1-10

    • DOI

      10.1038/s41524-017-0057-4

    • Related Report
      2017 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Local Intrinsic Dimension Estimation by Generalized Linear Modeling2017

    • Author(s)
      Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata
    • Journal Title

      Neural Computation

      Volume: 29(7) Issue: 7 Pages: 1838-1878

    • DOI

      10.1162/neco_a_00969

    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Journal Article] Double sparsity for multi-frame super resolution2017

    • Author(s)
      Toshiyuki Kato, Hideitsu Hino, Noboru Murata
    • Journal Title

      Neurouomputing

      Volume: 240 Pages: 115-126

    • DOI

      10.1016/j.neucom.2017.02.043

    • Related Report
      2017 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Discontinuous boundaries of slow slip events beneath the Bungo Channel, southwest Japan2017

    • Author(s)
      Ryoko Nakata, Hideitsu Hino, Tatsu Kuwatani, Shoichi Yoshioka, Masato Okada, Takane Hori
    • Journal Title

      Scientific Reports

      Volume: 7 Issue: 1 Pages: 6129-6129

    • DOI

      10.1038/s41598-017-06185-0

    • NAID

      120007128835

    • Related Report
      2017 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] ider: Intrinsic Dimension Estimation with R2017

    • Author(s)
      Hideitsu Hino
    • Journal Title

      The R Journal

      Volume: 9 Pages: 329-341

    • Related Report
      2017 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Group sparsity tensor factorization for re-identification of open mobility trace2017

    • Author(s)
      Murakami, T., Kanemura, A., and Hino, H.
    • Journal Title

      IEEE Transactions on Information Forensics and Security

      Volume: 12 (3) Issue: 3 Pages: 689-704

    • DOI

      10.1109/tifs.2016.2631952

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis2016

    • Author(s)
      Tomoaki Chiba, Hideitsu Hino , Shotaro Akaho, Noboru Murata
    • Journal Title

      PLOS ONE

      Volume: 12 Issue: 1 Pages: 13-13

    • DOI

      10.1371/journal.pone.0169981

    • NAID

      120007135110

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Nonparametric e-Mixture Estimation2016

    • Author(s)
      Ken Takaho, Hideitsu Hino, Shotaro Akaho, Noboru Murata
    • Journal Title

      Neural Computation

      Volume: 28 Issue: 12 Pages: 2687-2725

    • DOI

      10.1162/neco_a_00888

    • NAID

      40020676365

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] Geometrical Formulation of the Nonnegative Matrix Factorization2018

    • Author(s)
      Shotaro Akaho
    • Organizer
      The 25th International Conference on Neural Information Processing (ICONIP2018),
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Information Geometric Perspective of Modal Linear Regression2018

    • Author(s)
      Keishi Sando
    • Organizer
      The 25th International Conference on Neural Information Processing (ICONIP2018),
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 最頻値線形回帰の情報幾何2018

    • Author(s)
      三戸圭史,赤穂昭太郎,村田 昇,日野英逸
    • Organizer
      第32回情報論的学習理論と機械学習研究会
    • Related Report
      2017 Research-status Report
  • [Presentation] ブートストラップ分布に基づく外れ値検定2018

    • Author(s)
      渡邊隼人,日野英逸,赤穂昭太郎,村田 昇
    • Organizer
      第32回情報論的学習理論と機械学習研究会
    • Related Report
      2017 Research-status Report
  • [Presentation] pbdMPIを用いたエントロピー推定プログラムの並列化と性能評価2018

    • Author(s)
      河合祐輔,日野英逸,建部修見
    • Organizer
      情報処理学会第163回ハイパフォーマンスコンピューティング研究会
    • Related Report
      2017 Research-status Report
  • [Presentation] X線吸収スペクトルからの物理量の自動抽出2018

    • Author(s)
      鈴木雄太,小嗣真人,日野英逸,小野寛太
    • Organizer
      日本放射光学会年会・放射光科学合同シンポジウム
    • Related Report
      2017 Research-status Report
  • [Presentation] 機械学習によるX線吸収スペクトル測定の高効率化2018

    • Author(s)
      上野哲郎,日野英逸,橋本愛,武市泰男,小野寛太
    • Organizer
      日本放射光学会年会・放射光科学合同シンポジウム
    • Related Report
      2017 Research-status Report
  • [Presentation] Estimation of neural connections from partially observed neural spikes2017

    • Author(s)
      Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
    • Organizer
      Society for Neuroscience 2017 Annual Meeting
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] Geodetic inversion for spatial distribution of slow earthquakes under sparsity constraints2017

    • Author(s)
      Takane Hori, Ryoko Nakata, Hideitsu Hino, Tatsu Kuwatani, Shoichi Yoshioka, Masato Okada
    • Organizer
      International Meeting on High-Dimensional Data Driven Science
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] High-throughput measurement of X-ray magnetic circular dichroism spectroscopy with machine learning2017

    • Author(s)
      Tetsuro Ueno, Hideitsu Hino, Ai Hashimoto, Yasuo Takeuchi, Kanta Ono
    • Organizer
      IEEE International Magnetics Conference
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] 機械学習によるX線スペクトル測定の効率化2017

    • Author(s)
      上野哲郎,日野英逸,小野寛太
    • Organizer
      第65回応用物理学会 春季学術講演会
    • Related Report
      2017 Research-status Report
  • [Presentation] スペクトルの次元削減によるデータ可視化および物理量推定の検討2017

    • Author(s)
      鈴木雄太,日野英逸,小嗣真人,小野寛太
    • Organizer
      第65回応用物理学会 春季学術講演会
    • Related Report
      2017 Research-status Report
  • [Presentation] 多点計測スパイクデータに基づく神経細胞間の結合推定2017

    • Author(s)
      赤穂昭太郎,岩崎泰士,日野英逸,龍野正実,村田昇
    • Organizer
      第27回 日本神経回路学会 全国大会
    • Related Report
      2017 Research-status Report
  • [Presentation] High-throughput experiment of X-ray magnetic circular dichroism spectroscopy with machine learning2017

    • Author(s)
      Teturo Ueno, Hideitsu Hino, Ai Hashimoto, Yasuo Takeichi, Kanta Ono
    • Organizer
      第41回 日本磁気学会 学術講演会
    • Related Report
      2017 Research-status Report
  • [Presentation] 疎性モデリングで得られた豊後水道長期的スロースリップイベントのすべり分布2017

    • Author(s)
      中田令子,日野英逸,桑谷立,吉岡祥一,岡田真人,堀高峰
    • Organizer
      日本地球惑星科学連合大会
    • Related Report
      2017 Research-status Report
  • [Presentation] Sparse feature selection for clustering and sample-wise distance, with application to geochemical data2017

    • Author(s)
      Kenta Ueki, Hideitsu Hino
    • Organizer
      日本地球惑星科学連合大会
    • Related Report
      2017 Research-status Report
  • [Presentation] Statistical classification of tephra from rootless eruptions2017

    • Author(s)
      Rina Noguchi, Kei Kurita, Hideitsu Hino and Nobuo Geshi
    • Organizer
      日本地球惑星科学連合大会
    • Related Report
      2017 Research-status Report
  • [Presentation] Cluster analysis for volcanic pyroclasts2017

    • Author(s)
      Rina Noguchi, Hideitsu Hino
    • Organizer
      日本地球惑星科学連合大会
    • Related Report
      2017 Research-status Report
  • [Presentation] グループスパーステンソル分解とその位置情報プライバシー攻撃への応用2016

    • Author(s)
      村上隆夫
    • Organizer
      第6回バイオメトリクスと認識・認証シンポジウム
    • Place of Presentation
      芝浦工業大学(東京都芝浦)
    • Year and Date
      2016-11-16
    • Related Report
      2016 Research-status Report
  • [Presentation] An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure2016

    • Author(s)
      Hideitsu Hino
    • Organizer
      The 23th International Conference on Neural Information Processing
    • Place of Presentation
      京都大学(京都府京都市)
    • Year and Date
      2016-10-16
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] Non-parametric e-mixture of density functions2016

    • Author(s)
      Hideitsu Hino
    • Organizer
      The 23th International Conference on Neural Information Processing
    • Place of Presentation
      京都大学(京都府京都市)
    • Year and Date
      2016-10-16
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] Doubly Sparse Structure In Image Super Resolution2016

    • Author(s)
      Hideitsu Hino
    • Organizer
      The 2016 IEEE Machine Learning for Signal Processing Workshop
    • Place of Presentation
      Salerno, Italy
    • Year and Date
      2016-09-13
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] 重回帰を用いた高次局所潜在的次元推定2016

    • Author(s)
      日野英逸
    • Organizer
      第26回情報論的学習理論と機械学習研究会
    • Place of Presentation
      富山大学(富山県富山市)
    • Year and Date
      2016-09-05
    • Related Report
      2016 Research-status Report
  • [Presentation] スパースモデリングと正則化回帰2016

    • Author(s)
      日野英逸
    • Organizer
      第35回日本医用画像工学会大会 シンポジウム「医用画像工学におけるスパースモデリング」
    • Place of Presentation
      千葉大学(千葉県千葉市)
    • Year and Date
      2016-07-21
    • Related Report
      2016 Research-status Report
  • [Presentation] 疎性モデリングを用いたスロー地震のインバージョン2016

    • Author(s)
      中田令子
    • Organizer
      日本地球惑星科学連合大会
    • Place of Presentation
      幕張メッセ(千葉県幕張市)
    • Year and Date
      2016-05-22
    • Related Report
      2016 Research-status Report
  • [Presentation] Change-Point Detection in a Sequence of Bags-of-Data2016

    • Author(s)
      Kensuke Koshijima
    • Organizer
      International Conference of Data Engineering
    • Place of Presentation
      Helsinki, Finland
    • Year and Date
      2016-05-16
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research / Invited
  • [Book] 岩波データサイエンス vol.52017

    • Author(s)
      日野英逸(共著)
    • Total Pages
      10
    • Publisher
      岩波書店
    • Related Report
      2016 Research-status Report

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Published: 2016-04-21   Modified: 2020-03-30  

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