J-GLOBAL ID:200901045456743147   Update date: Jun. 09, 2020

Suzuki Izumi

Suzuki Izumi
Research theme for competitive and other funds  (2):
  • 2010 - 現在 A Bayesian pattern classification when the target is not segmented properly
  • 2004 - 2010 User Assistance of Web Search Engine
Papers (2):
Lectures and oral presentations  (10):
  • Sampling Smoothed Local Descriptors as Creating a Semi-local Feature and as Vector Quantization Process
    (The 4th International Symposium on Engineering, Energy and Environments 2015)
  • Vector Quantization by Sampling Smoothed SIFT Features for Bag-of-keypoint Classification
  • Measuring visual vocabulary appropriateness by dispersion index and its improvement by globalizing SIFT descriptors
    (15th IEEE International Symposium on Computational Intelligence and Informatics 2014)
  • Pattern Classification Using Bag-of-Keypoints for Improper Object Extraction
    (14th IEEE International Symposium on Computational Intelligence and Informatics 2013)
  • 対象物抽出が不正確な場合における局所特徴量を用いたパターン分類
    (情報処理学会第76回全国大会 2013)
Professional career (1):
  • Doctor (Engineering) (Nagaoka University of Technology)
Work history (2):
  • 2007/04/01 - 現在 Nagaoka University of Technology
  • 2000/04/01 - 2007/03/31 Nagaoka University of Technology
Association Membership(s) (2):
Information Processing Society of Japan ,  Japan Society for Fuzzy Theory and Intelligent Informatics
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page