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Large-scale data analysis based on latent variable models and sequential estimation methods

Research Project

Project/Area Number 15H02703
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Multimedia database
Research InstitutionHiroshima University (2018-2019)
Kobe University (2015-2017)

Principal Investigator

EGUCHI Koji  広島大学, 情報科学部, 教授 (50321576)

Co-Investigator(Kenkyū-buntansha) 高須 淳宏  国立情報学研究所, コンテンツ科学研究系, 教授 (90216648)
Project Period (FY) 2015-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥17,940,000 (Direct Cost: ¥13,800,000、Indirect Cost: ¥4,140,000)
Fiscal Year 2018: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2017: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2016: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2015: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Keywords潜在変数モデル / ノンパラメトリックベイズモデル / トピックモデル / 深層生成モデル / マルチモーダルデータ解析 / ネットワーク解析 / 時系列解析 / 機械学習 / ディレクトリ・情報検索 / 社会データ解析 / 情報工学 / ノンパラメトリックベイズ / 統計的ネットワークモデル / 確率的深層学習
Outline of Final Research Achievements

In this research, we aimed to achieve advanced analysis and prediction methods for real-world large-scale complex data, such as collections of text/multimodal data with structure or attributes and network data with attributed vertices or edges, by estimating probabilistic latent structure underlying the data. We especially addressed techniques and applications for social media and financial data, focusing on Bayesian models assuming prior hierarchies and deep generative models assuming latent hierarchical structure.

Academic Significance and Societal Importance of the Research Achievements

現実のデータにしばしば見られる多様性・複雑性を考慮した洗練された潜在変数モデルの設計と、大規模で動的なデータに適用可能な効率的推定手法の開発を行った。とりわけ、多言語データ、テキストアノテーション付き画像データ、映像データなどに対するマルチモーダルデータ解析と、社会ネットワークや金融ネットワークなどに対するネットワーク解析に新たな視点を投じた。これらのことから、実社会のデータに対する分析手段として従来にない機能を提供できたと思われる。

Report

(5 results)
  • 2019 Final Research Report ( PDF )
  • 2018 Annual Research Report
  • 2017 Annual Research Report
  • 2016 Annual Research Report
  • 2015 Annual Research Report
  • Research Products

    (52 results)

All 2020 2019 2018 2017 2016 2015 Other

All Journal Article (25 results) (of which Int'l Joint Research: 3 results,  Peer Reviewed: 25 results,  Open Access: 8 results,  Acknowledgement Compliant: 6 results) Presentation (25 results) (of which Int'l Joint Research: 2 results,  Invited: 1 results) Remarks (2 results)

  • [Journal Article] Forecasting Corporate Financial Time Series using Multi-phase Attention Recurrent Neural Networks2020

    • Author(s)
      Shuhei Yoshimi and Koji Eguchi
    • Journal Title

      Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference

      Volume: - Pages: 1-8

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Sequential Monte Carlo Inference Based on Activities for Overlapping Community Models2019

    • Author(s)
      Shohei Sakamoto and Koji Eguchi
    • Journal Title

      Behavioral Analytics in Social and Ubiquitous Environments

      Volume: Vol.LNCS-11406 Pages: 89-106

    • DOI

      10.1007/978-3-030-34407-8_5

    • ISBN
      9783030339067, 9783030344078
    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] [Invited papers] Supervised Nonparametric Multimodal Topic Models for Multi-class Video Classification2019

    • Author(s)
      Jianfei Xue and Koji Eguchi
    • Journal Title

      ITE Transactions on Media Technology and Applications

      Volume: 7 Issue: 2 Pages: 80-91

    • DOI

      10.3169/mta.7.80

    • NAID

      130007622437

    • ISSN
      2186-7364
    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Hierarchical Topic Models for Expanding Category Hierarchies2019

    • Author(s)
      Kohei Yamamoto, Koji Eguchi, and Atsuhiro Takasu
    • Journal Title

      Proceedings of the 2019 IEEE International Conference on Big Data and Smart Computing

      Volume: - Pages: 242-249

    • DOI

      10.1109/bigcomp.2019.8679402

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Supervised Nonparametric Multimodal Topic Modeling Methods for Multi-class Video Classification2018

    • Author(s)
      Jianfei Xue and Koji Eguchi
    • Journal Title

      Proceedings of the 2018 ACM International Conference on Multimedia Retrieval

      Volume: - Pages: 370-378

    • DOI

      10.1145/3206025.3206036

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Sequential Bayesian Nonparametric Multimodal Topic Models for Video Data Analysis2018

    • Author(s)
      Jianfei Xue and Koji Eguchi
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E101.D Issue: 4 Pages: 1079-1087

    • DOI

      10.1587/transinf.2017DAP0021

    • NAID

      130006602289

    • ISSN
      0916-8532, 1745-1361
    • Related Report
      2018 Annual Research Report 2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Supervised Nonparametric Multimodal Topic Modeling Methods for Multi-class Video Classification2018

    • Author(s)
      Jianfei Xue and Koji Eguchi
    • Journal Title

      Proceedings of the 8th ACM International Conference on Multimedia Retrieval (ICMR 2018)

      Volume: 印刷中

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] GPSデータの複数属性を用いたLSTMネットワークによる移動状態のモデル化と推定2017

    • Author(s)
      城内 光平, 江口 浩二
    • Journal Title

      情報処理学会論文誌 データベース

      Volume: Vol.10, No.4 Pages: 16-20

    • NAID

      170000149099

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 多次元関係モデルによる利用者の情報行動に関する予測2017

    • Author(s)
      梅原 頌平, 江口 浩二
    • Journal Title

      情報処理学会論文誌 データベース

      Volume: Vol.10, No.4 Pages: 21-25

    • NAID

      170000149100

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Time Dependent Analysis of Financial Networks using Supervised Latent Feature Relational Models2017

    • Author(s)
      Shotaro Ito and Koji Eguchi
    • Journal Title

      2017 IEEE International Conference on Big Data Workshops

      Volume: - Pages: 1-5

    • DOI

      10.1109/bigdata.2017.8258282

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Predicting Users’ Search Behavior using Stochastic Multi-mode Network Models2017

    • Author(s)
      Shohei Umehara and Koji Eguchi
    • Journal Title

      Proceedings of the 2017 IEEE International Conference on Data Mining Workshops

      Volume: - Pages: 1-6

    • DOI

      10.1109/icdmw.2017.25

    • NAID

      170000149100

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Bayesian Nonparametric Multimodal Data Modeling Framework for Video Emotion Recognition2017

    • Author(s)
      Jianfei Xue, Zhaojie Luo, Koji Eguchi, Tetsuya Takiguchi, and Tsukasa Omoto
    • Journal Title

      Proceedings of the 2017 IEEE International Conference on Multimedia and Expo (ICME 2017)

      Volume: - Pages: 601-606

    • DOI

      10.1109/icme.2017.8019480

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Relation Prediction in Multilingual Data Based on Multimodal Relational Topic Models2017

    • Author(s)
      Jianfei Xue and Koji Eguchi
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E100.D Issue: 4 Pages: 741-749

    • DOI

      10.1587/transinf.2016DAP0021

    • NAID

      130005529949

    • ISSN
      0916-8532, 1745-1361
    • Related Report
      2017 Annual Research Report 2016 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Particle Filter Inference based on Activities for Overlapping Community Models2017

    • Author(s)
      Shohei Sakamoto and Koji Eguchi
    • Journal Title

      Proceedings of the 26th International Conference on World Wide Web Companion

      Volume: - Pages: 1499-1504

    • DOI

      10.1145/3041021.3053905

    • Related Report
      2017 Annual Research Report 2016 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data2017

    • Author(s)
      Thai Binh Nguyen and Atsuhiro Takasu
    • Journal Title

      Proceedings of the 13th International Conference on Advanced Data Mining and Applications (ADMA 2017)

      Volume: LNAI 10604 Pages: 104-118

    • DOI

      10.1007/978-3-319-69179-4_8

    • ISBN
      9783319691787, 9783319691794
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Probabilistic Model for the Cold-Start Problem in Rating Prediction Using Click Data2017

    • Author(s)
      Thai Binh Nguyen and Atsuhiro Takasu
    • Journal Title

      Proceedings of the 24th International Conference on Neural Information Processing (ICONIP 2017)

      Volume: LNCS 10638 Pages: 196-205

    • DOI

      10.1007/978-3-319-70139-4_20

    • ISBN
      9783319701387, 9783319701394
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Identifying Authoritative Researchers in Digital Libraries using External a Priori Knowledge2017

    • Author(s)
      Baptiste De La Robertie, Yoann Pitarch, Atsuhiro Takasu, and Olivier Teste
    • Journal Title

      Proceedings of the 32nd ACM SIGAPP Symposium on Applied Computing (SAC 2017)

      Volume: 1 Pages: 1017-1022

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] A Unified Approach for Learning Expertise and Authority in Digital Libraries2017

    • Author(s)
      Baptiste De La Robertie, Liana Ermakova, Yoann Pitarch, Atsuhiro Takasu, and Olivier Teste
    • Journal Title

      Database Systems for Advanced Applications: 22nd International Conference, DASFAA 2017, Suzhou, Lecture Notes in Computer Science

      Volume: 2 Pages: 354-368

    • DOI

      10.1007/978-3-319-55699-4_22

    • ISBN
      9783319556987, 9783319556994
    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Sequential Symmetric Correspondence Hierarchical Dirichlet Processes for Video Data Analysis2016

    • Author(s)
      Jianfei Xue and Koji Eguchi
    • Journal Title

      NIPS 2016 Workshop on Practical Bayesian Nonparametrics

      Volume: 1 Pages: 1-11

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Sequential Correspondence Hierarchical Dirichlet Processes for Video Data Analysis2016

    • Author(s)
      Jianfei Xue and Koji Eguchi
    • Journal Title

      Proceedings of the 6th ACM International Conference on Multimedia Retrieval (ICMR 2016)

      Volume: 1 Pages: 229-233

    • DOI

      10.1145/2911996.2912041

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] Cross-lingual Link Prediction using Multimodal Relational Topic Models2016

    • Author(s)
      Yosuke Sakata and Koji Eguchi
    • Journal Title

      Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science

      Volume: 1 Pages: 1-8

    • DOI

      10.1109/icis.2016.7550883

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Sequential Correspondence Hierarchical Dirichlet Processes for Video Data Analysis2016

    • Author(s)
      Jianfei Xue, Koji Eguchi
    • Journal Title

      Proceedings of the 6th ACM International Conference on Multimedia Retrieval (ICMR 2016)

      Volume: 1 Pages: 1-5

    • Related Report
      2015 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Bayesian Non-parametric Inference of Multimodal Topic Hierarchies2016

    • Author(s)
      Takuji Shimamawari, Koji Eguchi, Atsuhiro Takasu
    • Journal Title

      Journal of Information Processing

      Volume: 24 Issue: 2 Pages: 407-415

    • DOI

      10.2197/ipsjjip.24.407

    • NAID

      130005138318

    • ISSN
      1882-6652
    • Related Report
      2015 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Bayesian Nonparametric Inference of Latent Topic Hierarchies for Multimodal Data2015

    • Author(s)
      Takuji Shimamawari, Koji Eguchi, Atsuhiro Takasu
    • Journal Title

      Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition (ACPR2015)

      Volume: 1 Pages: 1-5

    • Related Report
      2015 Annual Research Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] Bayesian Probabilistic Model for Context-Aware Recommendations2015

    • Author(s)
      Padipat Sitkrongwong, Saranya Maneeroj, Pannawit Samatthiyadikun, Atsuhiro Takasu
    • Journal Title

      Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2015)

      Volume: 1 Pages: 166-175

    • DOI

      10.1145/2837185.2837223

    • Related Report
      2015 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Presentation] トピック埋め込み回帰モデルを用いた株価予測2020

    • Author(s)
      許 蔚然, 江口 浩二
    • Organizer
      第24回人工知能学会金融情報学研究会 (SIG-FIN)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 多相アテンションLSTMを用いた財務時系列データの予測2020

    • Author(s)
      吉見 脩平, 江口 浩二, 金京 拓司, 羽森 茂之
    • Organizer
      第24回人工知能学会金融情報学研究会 (SIG-FIN)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 変分自己符号化器を用いたネットワーク埋め込みと金融ネットワークへの応用2020

    • Author(s)
      川上 雄大, 江口 浩二
    • Organizer
      第24回人工知能学会金融情報学研究会 (SIG-FIN)
    • Related Report
      2018 Annual Research Report
  • [Presentation] Embedding and Predicting Supply-Chain Networks2020

    • Author(s)
      Kimihiro Nakaga, Koji Eguchi, Takayuki Mizuno, and Atsuhiro Takasu
    • Organizer
      NetSci-X 2020
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 多次元関係データに対する潜在変数モデルのための双対分解による推定2019

    • Author(s)
      井上 曜, 梅原 頌平, 江口 浩二
    • Organizer
      第11回データ工学と情報マネジメントに関するフォーラム (DEIM2019)
    • Related Report
      2018 Annual Research Report
  • [Presentation] マルチタスク・ベイズ的最適化を用いた複数の時系列データの分析と予測2019

    • Author(s)
      中山 峻一, 江口 浩二
    • Organizer
      第11回データ工学と情報マネジメントに関するフォーラム (DEIM2019)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 潜在トピック空間上でのマルチタスク学習による企業評価テキストデータを用いた財務指標予測2018

    • Author(s)
      茂庭 綾香, 中川 雄太, 江口 浩二
    • Organizer
      第20回人工知能学会金融情報学研究会 (SIG-FIN)
    • Related Report
      2017 Annual Research Report
  • [Presentation] LSTMネットワークによる企業財務データの回帰分析2018

    • Author(s)
      城内 光平, 江口 浩二, 金京 拓司, 羽森 茂之
    • Organizer
      第20回人工知能学会金融情報学研究会 (SIG-FIN)
    • Related Report
      2017 Annual Research Report
  • [Presentation] マルチタスク・ベイズ的最適化を用いた複数の時系列データの分析と予測2018

    • Author(s)
      中山 峻一, 江口 浩二
    • Organizer
      第10回データ工学と情報マネジメントに関するフォーラム (DEIM2018)
    • Related Report
      2017 Annual Research Report
  • [Presentation] 時系列金融ネットワークの深層表現による金利相関分析2018

    • Author(s)
      川上 雄大, 江口 浩二
    • Organizer
      第10回データ工学と情報マネジメントに関するフォーラム (DEIM2018)
    • Related Report
      2017 Annual Research Report
  • [Presentation] 高頻度金融データによる相互依存企業群の抽出2018

    • Author(s)
      大坪 将之, Melesko Jaroslav, 江口 浩二
    • Organizer
      第10回データ工学と情報マネジメントに関するフォーラム (DEIM2018)
    • Related Report
      2017 Annual Research Report
  • [Presentation] 潜在変数モデリングによる利用者の情報行動に関する予測2017

    • Author(s)
      梅原 頌平, 江口 浩二
    • Organizer
      第9回データ工学と情報マネジメントに関するフォーラム
    • Place of Presentation
      高山グリーンホテル(岐阜県・高山市)
    • Year and Date
      2017-03-06
    • Related Report
      2016 Annual Research Report
  • [Presentation] アノテーション付き画像の感情分析における深層表現を伴った教師付きトピックモデル2017

    • Author(s)
      茂庭 綾香, 坂田 洋介, 江口 浩二
    • Organizer
      第9回データ工学と情報マネジメントに関するフォーラム
    • Place of Presentation
      高山グリーンホテル(岐阜県・高山市)
    • Year and Date
      2017-03-06
    • Related Report
      2016 Annual Research Report
  • [Presentation] LSTMネットワークによるGPSデータのモデル化と状態推定2017

    • Author(s)
      城内 光平, 江口 浩二
    • Organizer
      第9回データ工学と情報マネジメントに関するフォーラム
    • Place of Presentation
      高山グリーンホテル(岐阜県・高山市)
    • Year and Date
      2017-03-06
    • Related Report
      2016 Annual Research Report
  • [Presentation] Supervised Nonparametric Multimodal Topic Modeling Methods for Multi-class Video Classification2017

    • Author(s)
      Jianfei Xue and Koji Eguchi
    • Organizer
      第20回情報論的学習理論ワークショップ (IBIS2017)
    • Related Report
      2017 Annual Research Report
  • [Presentation] 潜在特徴関係モデルを用いた時系列金融ネットワークの解析と予測2017

    • Author(s)
      伊藤 翔太郎, 江口 浩二
    • Organizer
      第19回人工知能学会金融情報学研究会 (SIG-FIN)
    • Related Report
      2017 Annual Research Report
  • [Presentation] 確率的多モードネットワークモデルによる利用者の検索行動に関する予測2017

    • Author(s)
      梅原 頌平, 江口 浩二
    • Organizer
      第10回Webとデータベースに関するフォーラム (WebDB Forum 2017)
    • Related Report
      2017 Annual Research Report
  • [Presentation] 深層生成モデルによる時系列ネットワークの低次元埋め込み2017

    • Author(s)
      円道 滉一郎, 江口 浩二, 羽森 茂之, 金京 拓司
    • Organizer
      第18回人工知能学会金融情報学研究会
    • Place of Presentation
      FinGate(東京都・中央区)
    • Related Report
      2016 Annual Research Report
  • [Presentation] マルチタスク最大マージントピックモデルによる収益予測2017

    • Author(s)
      中川 雄太, 上野 良輔, 江口 浩二
    • Organizer
      第18回人工知能学会金融情報学研究会
    • Place of Presentation
      FinGate(東京都・中央区)
    • Related Report
      2016 Annual Research Report
  • [Presentation] Infinite Multimodal Topic Models for Image and Video Analysis2016

    • Author(s)
      Koji Eguchi
    • Organizer
      The 11th Korea-Japan Database Workshop 2016
    • Place of Presentation
      Daegu Gyeongbuk Institute of Science and Technology (Daegu, South Korea)
    • Year and Date
      2016-11-18
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Sequential Symmetric Correspondence Nonparametric Topic Models for Video Data Analysis2016

    • Author(s)
      Jianfei Xue, Koji Eguchi
    • Organizer
      第19回情報論的学習理論ワークショップ
    • Place of Presentation
      京都大学(京都府・京都市)
    • Year and Date
      2016-11-16
    • Related Report
      2016 Annual Research Report
  • [Presentation] 双対分解を用いた最大マージン潜在特徴関係モデルによる関係属性の予測2016

    • Author(s)
      西出 飛翔, 江口 浩二
    • Organizer
      電子情報通信学会第24回情報論的学習理論と機械学習研究会
    • Place of Presentation
      統計数理研究所(東京都・立川市)
    • Year and Date
      2016-03-17
    • Related Report
      2015 Annual Research Report
  • [Presentation] マージン最大化マルチモーダルトピックモデルによるマルチラベル分類2016

    • Author(s)
      坂田 洋介, 江口 浩二
    • Organizer
      第8回データ工学と情報マネジメントに関するフォーラム
    • Place of Presentation
      ヒルトン福岡シーホーク(福岡県・福岡市)
    • Year and Date
      2016-02-29
    • Related Report
      2015 Annual Research Report
  • [Presentation] 双対分解を用いた無限潜在特徴関係モデルによる関係データの属性予測2015

    • Author(s)
      西出 飛翔, 江口 浩二
    • Organizer
      第18回情報論的学習理論ワークショップ
    • Place of Presentation
      つくば国際会議場(茨城県・つくば市)
    • Year and Date
      2015-11-25
    • Related Report
      2015 Annual Research Report
  • [Presentation] 確率的ディープラーニングによる画像カテゴリ認識における特徴量に関する一検討2015

    • Author(s)
      円道 滉一郎, 江口 浩二
    • Organizer
      2015年度情報処理学会関西支部支部大会
    • Place of Presentation
      大阪大学中之島センター(大阪府・大阪市)
    • Year and Date
      2015-09-28
    • Related Report
      2015 Annual Research Report
  • [Remarks]

    • URL

      http://www.prmir.scitec.kobe-u.ac.jp/

    • Related Report
      2017 Annual Research Report
  • [Remarks] PrMIR

    • URL

      http://www.prmir.scitec.kobe-u.ac.jp/

    • Related Report
      2016 Annual Research Report 2015 Annual Research Report

URL: 

Published: 2015-04-16   Modified: 2022-11-04  

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