Research theme for competitive and other funds (10)：
2022 - 2025 高難度データ認識と高精細データ生成のための「注意深い」深層学習モデルの開発
2021 - 2024 Training of deep learning models by introducing prior knowledge
2018 - 2021 PET image analysis by deep learning for diagnosis of Alzheimer's disease
2016 - 2021 A study on acquisition of intermediate representations using context and top-down information for image recognition
2016 - 2021 Statistical Analysis of High-Dimensional Data
2016 - 2018 Development of machine learning algorithms for region classification and region segmentation of bio-images
2011 - 2016 A study on classifier design by integration of the probabilistic evidences and it applications to image recognitions
2010 - 2014 Performance Improvement for Classifiers by Optimizing Training Samples
2007 - 2010 A study on exploratory model selection methods for pattern recognition
2002 - 2004 場所細胞による移動ロボットのナビゲーションの研究
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Papers (216)：
Nomura, Yuichiro, Kurita, Takio. Data Expansion Approach with Attention Mechanism for Learning with Noisy Labels. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS. 2023. 32. 01
Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, Takio Kurita. Attention-effective multiple instance learning on weakly stem cell colony segmentation. Intelligent Systems with Applications. 2023. 17. 200187-200187
Nomura, Yuichiro, Kurita, Takio. Sample Selection Approach with Number of False Predictions for Learning with Noisy Labels. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS. 2022. E105D. 10. 1759-1768
Muthu Subash Kavitha, Prakash Gangadaran, Aurelia Jackson, Balu Alagar Venmathi Maran, Takio Kurita, Byeong-Cheol Ahn. Deep Neural Network Models for Colon Cancer Screening. Cancers. 2022. 14. 15. 3707-3707
Simin Liu, Yuta Konishi, Junichi Miyao and Takio Kurit. Optimization of Re-ranking based on k-reciprocal for Vehicle Re-identification. In: Sumi, K., Na, I.S., Kaneko, N. (eds) Frontiers of Computer Vision. IW-FCV 2022. Communications in Computer and Information Science. 2022. 1578. 300-311
Kernel function used in the optimum nonlinear discriminant analysis
(The 9th Conference of the Asian Regional Section of the IASC (IASC-ARS 2015) 2015)
Improvement of Generalization Performance of Optimal Nonlinear Discriminant Analysis
(the 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15) 2015)
Education (1)：
1977 - 1981 Nagoya Institute of Technology
Professional career (1)：
Doctor of Engineering (University of Tsukuba)
Work history (6)：
2010/04/01 - 2020/03/31 Hiroshima University Institute of Engineering Professor
2002/04/01 - 2010/03/31 University of Tsukuba Graduate School of Systems and Information Engineering Professor
2002/04/01 - 2010/03/31 University of Tsukuba Graduate School of Systems and Information Engineering Professor
2001/04/01 - 2010/03/31 National Institute of Advanced Industrial Science and Technology
1990/10/01 - 2001/03/31 National Institute of Advanced Industrial Science and Technology
1981/04/01 - 1990/09/30 National Institute of Advanced Industrial Science and Technology Researcher
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Awards (4)：
2021/02/23 - Soon Ki Jung (General Chair),Hieyong Jeong (Program Chair) The 27th International Workshop on Frontiers of Computer Vision, Best Paper Award Robust Training of Deep Neural Networks with Noisy Labels by Graph Label Propagation
2015/01/30 - Best Paper Award of the 21th Japan-Korea Joint Workshop on Frontiers of Computer Vision Nonlinear Discriminant Anlaysis Using k Nearest Neighbor Estimation
2015/01/30 - The 21th Japan-Korea Joint Workshop on Frontiers of Computer Vision Best Paper Award of the 21th Japan-Korea Joint Workshop on Frontiers of Computer Vision Nonlinear Discriminant Anlaysis Using k Nearest Neighbor Estimation
2013/05/22 - MVA2013 General chair and Program Chair IAPR MVA2013(International Conference on Machine Vision Application2013) The Most Influential Paper over the Decade Award
Association Membership(s) (3)：
電気学会
, Japanease Neural Network Society
, The Institute of Electronics, Information and Communication Engineers
