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Houle Michael E.  Michael E.Houle

… Alternative Names

Michael E.Houle  マイケル フール

HOULE Michael E.  MICHAEL E.Houle

MICHAEL E Houle  HOULE Michael E.

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Researcher Number 90399270
Other IDs
  • ORCIDhttps://orcid.org/0000-0001-8486-8015
Affiliation (Current) 2025: 国立情報学研究所, 大学共同利用機関等の部局等, 客員教授
Affiliation (based on the past Project Information) *help 2014 – 2020: 国立情報学研究所, 大学共同利用機関等の部局等, 客員教授
2016: 国立情報学研究所, 大学共同利用機関等の部局等, 教授
2013 – 2014: 国立情報学研究所, 大学共同利用機関等の部局等, 教授
2012 – 2013: 国立情報学研究所, 連携研究部門, 客員教授
2007: National Institute of Informatics, Collaborative Research Unit, Visiting Professor
2005 – 2007: 国立情報学研究所, 情報学資源研究センター, 客員教授
Review Section/Research Field
Principal Investigator
Basic Section 61030:Intelligent informatics-related / Intelligent informatics / Media informatics/Database
Except Principal Investigator
Media informatics/Database / Intelligent informatics
Keywords
Principal Investigator
データマイニング / 極値理論 / 高次元空間 / 機械学習 / ニューラルネットワーク / ニ ュ ー ラ ル ネ ッ ト ワ ー ク / 機械学種 / デ ー タ マ イ ニ ン グ / sparsification / multimedia … More / face images / similarity graph / label propagation / classification / 画像データ / 類似検索 / 分類アルゴリズム / ラベル伝播 … More
Except Principal Investigator
Multimodal analysis / Clustering / Image recognition model / Image mining / Image indexing / マルチモーダル解析 / クラスタリング / 画像認識モデル / 映像マイニング / 映像インデクシング / 知識発見 / 粒子フィルタ / 統計的推定 / 希少事象 / シミュレーション / 次元の呪い / 人工知能 / データマイニング / 機械学習 / 超高次元データ Less
  • Research Projects

    (5 results)
  • Research Products

    (54 results)
  • Co-Researchers

    (10 People)
  •  Data Mining for Graphs and Networks via Local Intrinsic Dimensional ModelingPrincipal Investigator

    • Principal Investigator
      Houle Michael
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      National Institute of Informatics
  •  Practical and Effective Data Mining Via Local Intrinsic Dimensional ModelingPrincipal Investigator

    • Principal Investigator
      Houle Michael E.
    • Project Period (FY)
      2015 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Intelligent informatics
    • Research Institution
      National Institute of Informatics
  •  Development and Application of Statistical Estimation and Simulation for Super High Dimensional Data Space

    • Principal Investigator
      Washio Takashi
    • Project Period (FY)
      2013 – 2016
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Intelligent informatics
    • Research Institution
      Osaka University
  •  Unsupervised Techniques for the Propagation of Label Information in Image DatasetsPrincipal Investigator

    • Principal Investigator
      HOULE Michael E.
    • Project Period (FY)
      2012 – 2014
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Media informatics/Database
    • Research Institution
      National Institute of Informatics
  •  Model learning for image understanding from video archives

    • Principal Investigator
      SATOH Shin'ichi
    • Project Period (FY)
      2005 – 2007
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Media informatics/Database
    • Research Institution
      National Institute of Informatics

All 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2007 2006 Other

All Journal Article Presentation

  • [Journal Article] High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence2021

    • Author(s)
      Amsaleg Laurent、Bailey James、Barbe Amelie、Erfani Sarah M.、Furon Teddy、Houle Michael E.、Radovanovic Milos、Nguyen Xuan Vinh
    • Journal Title

      IEEE Transactions on Information Forensics and Security

      Volume: 16 Pages: 854-865

    • DOI

      10.1109/tifs.2020.3023274

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection2021

    • Author(s)
      Wang Qizhou、Erfani Sarah M.、Leckie Christopher、Houle Michael E.
    • Journal Title

      Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)

      Volume: 21 Pages: 118-126

    • DOI

      10.1137/1.9781611976700.14

    • ISBN
      9781611976700
    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] Local Intrinsic Dimensionality III: Density and Similarity2020

    • Author(s)
      Houle Michael E.
    • Journal Title

      Lecture Notes in Computer Science, vol 12440, Springer (Proceedings of SISAP 2020)

      Volume: 12440 Pages: 248-260

    • DOI

      10.1007/978-3-030-60936-8_19

    • ISBN
      9783030609351, 9783030609368
    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation2019

    • Author(s)
      Becker Ruben, Hafnaoui Imane, Houle Michael E., Li Pan, Zimek Arthur
    • Journal Title

      arXiv CoRR

      Volume: abs/1907.06771 Pages: 1-17

    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality2019

    • Author(s)
      Barua Sukarna, Ma Xingjun, Erfani Sarah M., Houle Michael E., Bailey James
    • Journal Title

      arXiv CoRR

      Volume: abs/1905.00643 Pages: 1-31

    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] The Influence of Hubness on NN-Descent2019

    • Author(s)
      Bratic Brankica, Houle Michael E., Kurbalija Vladimir, Oria Vincent, Radovanovic Milos
    • Journal Title

      International Journal on Artificial Intelligence Tools

      Volume: 28 Issue: 06 Pages: 1960002-1960002

    • DOI

      10.1142/s0218213019600029

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] Improving the Quality of Explanations with Local Embedding Perturbations2019

    • Author(s)
      Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle
    • Journal Title

      25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019)

      Volume: 25

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] Subspace Determination Through Local Intrinsic Dimensional Decomposition2019

    • Author(s)
      Becker Ruben, Hafnaoui Imane, Houle Michael E., Li Pan, Zimek Arthur
    • Journal Title

      International Conference on Similarity Search and Applications (SISAP 2019)

      Volume: 12 Pages: 281-289

    • DOI

      10.1007/978-3-030-32047-8_25

    • ISBN
      9783030320461, 9783030320478
    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] Intrinsic Dimensionality Estimation within Tight Localities2019

    • Author(s)
      Amsaleg Laurent, Chelly Oussama, Houle Michael E., Kawarabayashi Ken-ichi, Radovanovic Milos, Treeratanajaru Weeris
    • Journal Title

      SIAM International Conference on Data Mining (SDM 2019)

      Volume: 19 Pages: 181-189

    • DOI

      10.1137/1.9781611975673.21

    • ISBN
      9781611975673
    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] Improving the Quality of Explanations with Local Embedding Perturbations2019

    • Author(s)
      Jia Yunzhe, Bailey James, Ramamohanarao Kotagiri, Leckie Christopher、Houle Michael E.
    • Journal Title

      ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

      Volume: 25 Pages: 875-884

    • DOI

      10.1145/3292500.3330930

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality2018

    • Author(s)
      Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey
    • Journal Title

      6th International Conference on Learning Representations (ICLR 2018), CoRR abs/1801.02613

      Volume: 6 Pages: 1-15

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] Extreme-value-theoretic estimation of local intrinsic dimensionality2018

    • Author(s)
      Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stephane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett
    • Journal Title

      Data Mining and Knowledge Discovery

      Volume: 32 Issue: 6 Pages: 1768-1805

    • DOI

      10.1007/s10618-018-0578-6

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] Dimensionality-Driven Learning with Noisy Labels2018

    • Author(s)
      Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi Wijewickrema, James Bailey
    • Journal Title

      35th International Conference on Machine Learning (ICML 2018)

      Volume: 35 Pages: 3361-3370

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality2018

    • Author(s)
      Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey
    • Journal Title

      6th International Conference on Learning Representations (ICLR 2018)

      Volume: 6 Pages: 1-15

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02753
  • [Journal Article] Intrinsic Degree: An Estimator of the Local Growth Rate in Graphs2018

    • Author(s)
      Lorenzo von Ritter, Michael E. Houle, Stephan Guennemann
    • Journal Title

      11th International Conference on Similarity Search and Applications (SISAP 2018)

      Volume: 11 Pages: 195-208

    • DOI

      10.1007/978-3-030-02224-2_15

    • ISBN
      9783030022235, 9783030022242
    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] On the Correlation Between Local Intrinsic Dimensionality and Outlierness2018

    • Author(s)
      Michael E. Houle, Erich Schubert, Arthur Zimek
    • Journal Title

      11th International Conference on Similarity Search and Applications (SISAP 2018)

      Volume: 11 Pages: 177-191

    • DOI

      10.1007/978-3-030-02224-2_14

    • ISBN
      9783030022235, 9783030022242
    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] NN-Descent on High-Dimensional Data2018

    • Author(s)
      Brankica Bratic, Michael E. Houle, Vladimir Kurbalija, Vincent Oria, Milos; Radovanovic
    • Journal Title

      8th International Conference on Web Intelligence, Mining and Semantics (WIMS 2018)

      Volume: 8 Pages: 1-8

    • DOI

      10.1145/3227609.3227643

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] LID-Fingerprint: A Local Intrinsic Dimensionality-Based Fingerprinting Method2018

    • Author(s)
      Michael E. Houle, Vincent Oria, Kurt R. Rohloff, Arwa M. Wali
    • Journal Title

      11th International Conference on Similarity Search and Applications (SISAP 2018)

      Volume: 11 Pages: 134-147

    • DOI

      10.1007/978-3-030-02224-2_11

    • ISBN
      9783030022235, 9783030022242
    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03296
  • [Journal Article] Dimensional Testing for Reverse k-Nearest Neighbor Search2017

    • Author(s)
      Guillaume Casanova, Elias Englmeier, Michael E. Houle, Peer Kroger, Michael Nett and Arthur Zimek
    • Journal Title

      The VLDB Endowment

      Volume: 10[7] Pages: 769-780

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25240036
  • [Journal Article] Local Intrinsic Dimensionality I: An Extreme-Value-Theoretic Foundation for Similarity Applications2017

    • Author(s)
      Michael E. Houle
    • Journal Title

      10th International Conference on Similarity Search and Applications (SISAP 2017)

      Volume: 10 Pages: 64-79

    • DOI

      10.1007/978-3-319-68474-1_5

    • ISBN
      9783319684734, 9783319684741
    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02753
  • [Journal Article] Local Intrinsic Dimensionality II: Multivariate Analysis and Distributional Support2017

    • Author(s)
      Michael E. Houle
    • Journal Title

      10th International Conference on Similarity Search and Applications (SISAP 2017)

      Volume: 10 Pages: 80-95

    • DOI

      10.1007/978-3-319-68474-1_6

    • ISBN
      9783319684734, 9783319684741
    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02753
  • [Journal Article] Dimensional Testing for Reverse k-Nearest Neighbor Search2017

    • Author(s)
      Guillaume Casanova, Elias Englmeier, Michael E. Houle, Peer Kroeger, Michael Nett, Arthur Zimek
    • Journal Title

      Proceedings of the VLDB Endowment

      Volume: 10(7) Issue: 7 Pages: 769-780

    • DOI

      10.14778/3067421.3067426

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02753
  • [Journal Article] Query Expansion for Content-Based Similarity Search Using Local and Global Features2017

    • Author(s)
      Michael E. Houle, Xiguo Ma, Vincent Oria, Jichao Sun
    • Journal Title

      ACM Transactions on Multimedia Computing, Communications, and Applications

      Volume: 13 Issue: 3 Pages: 1-23

    • DOI

      10.1145/3063595

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02753
  • [Journal Article] The Vulnerability of Learning to Adversarial Perturbation Increases with Intrinsic Dimensionality2017

    • Author(s)
      Laurent Amsaleg, James Bailey, Dominique Barbe, Sarah M. Erfani, Michael E. Houle, Xuan Vinh Nguyen, Milos Radovanovic
    • Journal Title

      9th IEEE Workshop on Information Forensics and Security (WIFS 2017)

      Volume: 9 Pages: 1-6

    • DOI

      10.1109/wifs.2017.8267651

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02753
  • [Journal Article] Improving k-NN Graph Accuracy Using Local Intrinsic Dimensionality2017

    • Author(s)
      Michael E. Houle, Vincent Oria, Arwa M. Wali
    • Journal Title

      10th International Conference on Similarity Search and Applications (SISAP 2017)

      Volume: 10 Pages: 110-124

    • DOI

      10.1007/978-3-319-68474-1_8

    • ISBN
      9783319684734, 9783319684741
    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02753
  • [Journal Article] Efficient Similarity Search within User-Specified Projective Subspaces2016

    • Author(s)
      Michael E. Houle, Xiguo Ma, Vincent Oria and Jichao Sun
    • Journal Title

      Information Systems

      Volume: 59 Pages: 2-14

    • DOI

      10.1016/j.is.2016.01.008

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25240036, KAKENHI-PROJECT-15H02753
  • [Journal Article] On the Evaluation of Unsupervised Outlier Detection: Measures, Datasets, and an Empirical Study2016

    • Author(s)
      Guilherme O. Campos, Arthur Zimek, Jorg Sander, Ricardo J. G. B. Campello, Barbora Micenkova, Erich Schubert, Ira Assent, Michael E. Houle
    • Journal Title

      Data Mining and Knowledge Discovery

      Volume: online Issue: 4 Pages: 1-37

    • DOI

      10.1007/s10618-015-0444-8

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02753, KAKENHI-PROJECT-25240036
  • [Journal Article] Measuring Dependency via Intrinsic Dimensionality2016

    • Author(s)
      Simone Romano, Oussama Chelly, Xuan Vinh Nguyen, James Bailey, Michael E. Houle
    • Journal Title

      International Conference on Pattern Recognition (ICPR 2016)

      Volume: 23 Pages: 1207-1212

    • DOI

      10.1109/icpr.2016.7899801

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02753
  • [Journal Article] Michael E. Houle, Xiguo Ma, Vincent Oria2015

    • Author(s)
      Effective and Efficient Algorithms for Flexible Aggregate Similarity Search in High Dimensional Spaces
    • Journal Title

      IEEE Transactions on Knowledge and Data Engineering

      Volume: 27(12) Issue: 12 Pages: 3258-3273

    • DOI

      10.1109/tkde.2015.2475740

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02753, KAKENHI-PROJECT-25240036
  • [Journal Article] Estimating Local Intrinsic Dimensionality2015

    • Author(s)
      Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stephane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett
    • Journal Title

      21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015)

      Volume: 21 Pages: 29-38

    • DOI

      10.1145/2783258.2783405

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02753
  • [Journal Article] Flexible Aggregate Similarity Search in High-Dimensional Data Sets2015

    • Author(s)
      Michael E. Houle, Xiguo Ma, Vincent Oria
    • Journal Title

      8th International Conference on Similarity Search and Applications (SISAP 2015)

      Volume: 8 Pages: 15-28

    • DOI

      10.1007/978-3-319-25087-8_2

    • ISBN
      9783319250861, 9783319250878
    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02753
  • [Journal Article] Rank-based similarity search: Reducing the dimensional dependence2015

    • Author(s)
      Houle, M.E., and Nett, M.
    • Journal Title

      IEEE Trans. Pattern Analysis and Machine Intelligence

      Volume: 37(1) Issue: 1 Pages: 136-150

    • DOI

      10.1109/tpami.2014.2343223

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-25240036
  • [Journal Article] Improving the Quality of K-NN Graphs through Vector Sparsification: Application to Image Databases2014

    • Author(s)
      M, E. Houle, X. Ma, V. Oria, and J. Sun
    • Journal Title

      International Journal of Multimedia Information Retrieval

      Volume: 3(4) Issue: 4 Pages: 259-274

    • DOI

      10.1007/s13735-014-0067-7

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24500135
  • [Journal Article] Annotation propagation in image databases using similarity graphs2013

    • Author(s)
      Michael E Houle, Vincent Oria, Shin'ichi Satoh, and Jichao Sun
    • Journal Title

      ACM Transactions on Multimedia Computing, Communications, and Applications

      Volume: 10 Issue: 1 Pages: 1-21

    • DOI

      10.1145/2487736

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23300041, KAKENHI-PROJECT-24500135
  • [Journal Article] Annotation Propagation in Image Databases Using Similarity Graphs2013

    • Author(s)
      M. E. Houle, V. Oria, S.Satoh and J.Sun
    • Journal Title

      the Transactions on Multimedia Computing Communications and Applications

      Volume: 未定

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500135
  • [Journal Article] Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis2007

    • Author(s)
      Duy-Dinh Le, Shin'ichi Satoh, Michale E.Houle, and Dat P.T.Nguyen
    • Journal Title

      The Second IEEE International Workshop on Multimedia Databases and Data Management In conjunction with ICDE (発行確定)

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17300040
  • [Journal Article] Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis,2007

    • Author(s)
      Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle, Dat P. T. Nguyen
    • Journal Title

      The Second IEEE International Workshop on Multimedia Databases and Data Management, In conjunction with ICDE,

    • Data Source
      KAKENHI-PROJECT-17300040
  • [Journal Article] Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis2007

    • Author(s)
      Duy-Dinh Le, Shin'ichi Satoh, Michale E. Houle, Dat P.T. Nguyen
    • Journal Title

      The Second IEEE International Workshop o Multimee Databases and Data Management In conjunction with ICDE

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-17300040
  • [Journal Article] Boosting Face Retrieval By Using Relevant Set Correlation Clustering,2007

    • Author(s)
      Duy-Dinh Le, Shin'ichi Satoh, Michael Houle
    • Journal Title

      International Conference on Multimedia and Expo (ICME2007), Beijing,

    • Data Source
      KAKENHI-PROJECT-17300040
  • [Journal Article] "Boosting Face Retrieval By Using Relevant Set Correlation Clustering,"2007

    • Author(s)
      Duy-Dinh Le, Shin'ichi Satoh, and Michael Houle,
    • Journal Title

      International Conference on Multimedia and Expo(ICME2007), Beijing,

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17300040
  • [Journal Article] Boosting Face Retrieval By Using Relevant Set Correlation Clustering2007

    • Author(s)
      Duy-Dinh Le, Shin'ichi Satoh, Michael Houle
    • Journal Title

      International Conference on Multimedia and Expo(Beijing) (ICME2007)

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-17300040
  • [Journal Article] "Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis,"2007

    • Author(s)
      Duy-Dinh Le, Shin'ichi Satoh, Michale E. Houle, and Dat P.T. Nguyen,
    • Journal Title

      The Second IEEE International Workshop on Multimedia Databases and Data Management, In conjunction with ICDE

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17300040
  • [Journal Article] Boosting Face Retrieval By Using Relevant Set Correlation Clustering2007

    • Author(s)
      Duy-Dinh Le, Shin'ichi Satoh, and Michael Houle
    • Journal Title

      International Conference on Multimedia and Expo(ICME2007) Beijing(発行確定)

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17300040
  • [Journal Article] Face Retrieval in Broadcasting News Video By Fusing Temporal and Intensity Information,2006

    • Author(s)
      Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle
    • Journal Title

      Proc. of International Conference on Image and Video Retrieval (CIVR2006),

    • Data Source
      KAKENHI-PROJECT-17300040
  • [Journal Article] Face Retrieval in Broadcasting News Video By Fusing Temporal and Intensity Information2006

    • Author(s)
      Duy-Dinh Le, Shin'ichi Satoh, and Michael E.Houle
    • Journal Title

      Proc.of International Conference on Image and Video Retrieval(CIVR2006) (発行確定)

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17300040
  • [Journal Article] Face Retrieval in Broadcasting News Video By Fusing Temporal and Intensity Information2006

    • Author(s)
      Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle
    • Journal Title

      Proc.of International Conference on Image and Vide Retrieval (CIVR2006)

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-17300040
  • [Presentation] Flexible Aggregate Similarity Search in High-Dimensional Data Sets2015

    • Author(s)
      Michael E. Houle, Xiguo Ma and Vincent Oria
    • Organizer
      SISAP2015: the 8th International Conference on Similarity Search and Applications
    • Place of Presentation
      Glasgow, UK
    • Year and Date
      2015-10-12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25240036
  • [Presentation] Estimating Local Intrinsic Dimensionality2015

    • Author(s)
      Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stephane Girard, Michael E. Houle, Ken-ichi Kawarabayashi and Michael Nett
    • Organizer
      KDD2015: the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
    • Place of Presentation
      Sydney, Australia
    • Year and Date
      2015-08-10
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25240036
  • [Presentation] Improving the quality of K-NN graphs for image databases through vector sparsification2014

    • Author(s)
      M. E. Houle, X. Ma, V. Oria and J. Sun
    • Organizer
      5th ACM International Conference on Multimedia Retrieval (ICMR 2014)
    • Place of Presentation
      Glasgow, UK
    • Data Source
      KAKENHI-PROJECT-24500135
  • [Presentation] Image retrieval with reciprocal and shared nearest neighbors2014

    • Author(s)
      A. Delvinioti, H. Jegou, L. Amsaleg and M. E. Houle
    • Organizer
      9th International Conference on Computer Vision Theory and Applications (VISAPP 2014)
    • Place of Presentation
      Lisbon, Portugal
    • Data Source
      KAKENHI-PROJECT-24500135
  • [Presentation] Dimensional testing for multi-step similarity search2012

    • Author(s)
      M. E. Houle, X. Ma, M. Nett and V. Oria
    • Organizer
      12th IEEE International Conference on Data Mining (ICDM 2012)
    • Place of Presentation
      Brussels, Belgium
    • Data Source
      KAKENHI-PROJECT-24500135
  • [Presentation] Efficient Algorithms for Similarity Search in Axis-Aligned Subspaces

    • Author(s)
      M, E. Houle, X. Ma, V. Oria, and J. Sun
    • Organizer
      7th International Conference on Similarity Search and Applications (SISAP 2014)
    • Place of Presentation
      Los Cabos, Mexico
    • Year and Date
      2014-10-29 – 2014-10-31
    • Data Source
      KAKENHI-PROJECT-24500135
  • [Presentation] Improving the Quality of K-NN Graphs for Image Databases through Vector Sparsification

    • Author(s)
      M, E. Houle, X. Ma, V. Oria, and J. Sun
    • Organizer
      5th ACM International Conference on Multimedia Retrieval (ICMR 2014)
    • Place of Presentation
      Glasgow, UK
    • Year and Date
      2014-04-01 – 2014-04-04
    • Data Source
      KAKENHI-PROJECT-24500135
  • [Presentation] Ecient algorithms for similarity search in axisaligned subspaces.

    • Author(s)
      Houle, M.E., Ma, X., Oria, V., and Sun, J.
    • Organizer
      7th Int. Conf. on Similarity Search and Applications (SISAP)
    • Place of Presentation
      ロスカボス(メキシコ)
    • Year and Date
      2014-10-29 – 2014-10-31
    • Data Source
      KAKENHI-PROJECT-25240036
  • 1.  SATOH Shin'ichi (90249938)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 13 results
  • 2.  Washio Takashi (00192815)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  SHIMIZU Shohei (10509871)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  KAWAHARA Yoshinobu (00514796)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  INOGUCHI Akihiro (70452456)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  KATAYAMA Norio (60280559)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  HIROSHI Mo (60312203)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  伊庭 幸人 (30213200)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  Ting Kai Ming
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 10.  LE Duy-Dinh
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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