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RIKEN Center for Advanced Intelligence Project Machine Intelligence for Medical Engineering Team

Team Leader: Tatsuya Harada (D.Eng.)

Research Summary

Tatsuya  Harada(D.Eng.)

Our goal is to invent intelligent systems assisting medical diagnosis and treatment by extracting useful features from medical information, and combining them with powerful computational resources and vast amount of data in the cyber space. To tackle this challenging problem, we utilize all resources in the area of computer science including mathematical basis and robotics.

Main Research Fields

  • Computer Science

Related Research Fields

  • Engineering

Research Subjects

  • Visual Recognition
  • Machine Learning
  • Intelligent Robot

Selected Publications

Papers with an asterisk(*) are based on research conducted outside of RIKEN.

  • 1.*Mukuta, Y., Harada, T.:
    "Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning"
    Computer Vision and Pattern Recognition (CVPR) 2016, 5222-5230 (2016).
  • 2.*Kanehira, A., Harada, T.:
    "Multi-label Ranking from Positive and Unlabeled Data"
    Computer Vision and Pattern Recognition (CVPR) 2016, 5138-5146 (2016).
  • 3.*Ohnishi, K., Kanehira, A., Kanezaki, A., Harada, T.:
    "Recognizing Activities of Daily Living with a Wrist-mounted Camera"
    Computer Vision and Pattern Recognition (CVPR) 2016, 3103-3111 (2016)
  • 4.*Shin, A., Ushiku, Y., Harada, T.:
    "Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset"
    The British Machine Vision Conference (BMVC) 2016, 053 (2016).
  • 5.*Ohnishi, K., Hidaka, M., Harada, T.:
    "Improved Dense Trajectory with Cross Streams"
    ACM Multimedia 2016, 257-261 (2016).
  • 6.*Ushiku, Y., Mukuta, Y., Yamaguchi, M., Harada, T.:
    "Common Subspace for Model and Similarity: Phrase Learning for Sentence Generation from Images"
    International Conference on Computer Vision (ICCV) 2015, 2668-2676 (2015).
  • 7.*Kamada, C., Kanezaki, A., Harada, T.:
    "Probabilistic Semi-Canonical Correlation Analysis"
    ACM Multimedia 2015, 1131-1134 (2015).
  • 8.*Mukuta, Y., Harada, T.:
    "Probabilistic Partial Canonical Correlation Analysis"
    International Conference on Machine Learning (ICML) 2014, 1449-1457 (2014).
  • 9.*Kato, H., Harada, T.:
    "Image Reconstruction from Bag-of-Visual-Words"
    Computer Vision and Pattern Recognition (CVPR) 2014, 955-962 (2014).
  • 10.*Ushiku, Y., Hidaka, M., Harada, T.:
    "Three Guidelines of Online Learning for Large-Scale Visual Recognition"
    Computer Vision and Pattern Recognition (CVPR) 2014, 3574-3581 (2014).

Recent Research Results

Related Links

Lab Members

Principal investigator

Tatsuya Harada
Team Leader

Core members

Lin Gu
Research Scientist
Zhongyi Zhou
Special Postdoctoral Researcher
Kenichiro Ando
Postdoctoral Researcher
Yasushi Koyama
Visiting Scientist
Yusuke Kurose
Visiting Scientist
Yusuke Mukuta
Visiting Scientist
Masatoshi Hidaka
Visiting Scientist
Kohei Uehara
Visiting Scientist
Gexin Huang
Yizhe Ruan
Research Part-time Worker I
Ryosuke Sasaki
Research Part-time Worker I

Contact Information

Engineering Building #2,
7-3-1, Hongo, Bunkyo-ku, Tokyo,
113-8656, Japan
Email: tatsuya.harada [at] riken.jp