Rchr
J-GLOBAL ID:201101061501008171   Update date: Feb. 03, 2021

Houle Michael

Houle Michael
Affiliation and department:
Job title: Visiting Professor
Homepage URL  (2): http://kaken.nii.ac.jp/ja/r/90399270https://researchmap.jp/meh/
Research field  (3): Information theory ,  Intelligent informatics ,  Mathematical informatics
Research keywords  (7): machine learning ,  algorithms ,  data mining ,  extreme value theory ,  combinatorial geometry ,  visualization ,  similarity search
Research theme for competitive and other funds  (4):
  • 2018 - 2021 Data Mining for Graphs and Networks via Local Intrinsic Dimensional Modeling
  • 2015 - 2018 Practical and Effective Data Mining via Local Intrinsic Dimensional Modeling
  • 2013 - 2017 Development and Application of Statistical Estimation and Simulation Principles in Extremely High-Dimensional Data Spaces
  • 2012 - 2015 Automated Annotation of Faces in Image Databases by Propagation of Labels
Papers (111):
MISC (11):
more...
Patents (5):
  • Generating a data structure for information retrieval
  • Selection of elements strongly related to a predetermined reference element
  • Computer system, method, and program product for generating a data structure for information retrieval, and an associated graphical user interface
  • Information processing using a hierarchy structure of randomized samples
  • Computer executable dimension reduction and retrieval engine
Books (2):
  • Computing Handbook, 3rd ed.
    Chapman and Hall 2014
  • Data Mining: A Heuristic Approach Vol. I
    Idea Group Publishing 2002
Professional career (1):
  • B.Sc., Ph.D. (McGill University)
Work history (10):
  • 2009/04 - 現在 Sokendai (Graduate University of Advanced Studies) Visiting Professor
  • 2004/02 - 現在 National Institute of Informatics Visiting Professor
  • 2005 - 2007 National Institute of Informatics
  • 2007 - National Institute of Informatics
  • 2001/04 - 2003/12 IBM Tokyo Research Laboratory Visiting Scientist
Show all
Awards (3):
  • 2018/06 - Best Paper Award, 8th International Conference on Web Intelligence, Mining and Semantics (WIMS 2018) NN-Descent on High-Dimensional Data
  • 2014/10 - 7th International Conference on Similarity Search and Applications (SISAP 2014) Best Paper Award Efficient Algorithms for Similarity Search in Axis-Aligned Subspaces
  • 2010/12 - 10th IEEE International Conference on Data Mining (ICDM 2010) Best Research Paper Award Finding Local Anomalies in Very High Dimensional Space
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