Rchr
J-GLOBAL ID:200901012376805308   Update date: Sep. 02, 2024

KAMEYAMA Keisuke

カメヤマ ケイスケ | KAMEYAMA Keisuke
Affiliation and department:
Job title: Professor
Research field  (1): Intelligent informatics
Research keywords  (2): pattern recognition ,  neural network
Research theme for competitive and other funds  (10):
  • 2019 - 2022 Model Switching Criteria in Dynamic Model Learning of Neural Networks
  • 2016 - 2019 Signal Recognition Mechanisms by Selecting Higher-Order Spectral Features Through Learning
  • 2010 - 2012 Framework of Novel Image Feature Extraction using Higher-Order Statistical Kernel Functions
  • 2005 - 2008 Meta-Learning Algorithms in Neural Networks and their Implementation in Parallel Distributed Systems
  • 2001 - 2004 Search of Local Interactions for Improved Generalization in Neural Network Learning
Show all
Papers (190):
  • KAMEYAMA, Keisuke. Affinity-Weighted RandAugment for Problem-Oriented Augmentation in Image Classification. Proceedings of International Joint Conference on Neural Networks 2024. 2024. 1-8
  • Maniamfu, Pavodi Ndoyi, Ali, U. A. Md. Ehsan, Kameyama, Keisuke. PINN with Antisymmetric RNN for Solving Nonlinear Partial Differential Equations. International Conference on Scientific Computation and Machine Learning 2024. 2024
  • Maniamfu, Pavodi Ndoyi, Kameyama, Keisuke. LSTM-based Forecasting using Policy Stringency and Time-varying Parameters of the SIR Model for COVID-19. 2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA). 2023. 111-116
  • Huang, Tzu-Jui, Kameyama, Keisuke. Machine Learning Curriculums Generated by Classifier Ensembles. 2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA). 2023. 117-121
  • Morikawa, Takumi, Kameyama, Keisuke. CNN Model Compression by Merit-Based Distillation. 2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA). 2023. 122-127
more...
Patents (3):
  • 画像処理装置,方法およびプログラム
  • 地理画像変化域の抽出方法,及び地理画像変化域の抽出装置
  • 逆問題解析ネットワークおよびその演算方法
Books (2):
  • リスク工学の視点とアプローチ -現代生活に潜むリスクにどう取り組むかー
    Corona-sha 2009
  • Model Switching Maneuvers in Pattern Recognition Systems
    1999
Lectures and oral presentations  (39):
  • 事前学習を用いたクラスタリングによるログデータの異常検知
    (2024年電子情報通信学会総合大会)
  • 教師モデルの推論時の着目領域情報を使用したDistillationによるCNNのモデル圧縮
    (2024年電子情報通信学会総合大会)
  • CNNに対するフィルタ刈り込みと欠損した情報の補償による性能低下の抑制
    (第22回情報科学技術フォーラム(FIT))
  • Lip Video-Assisted Speech Recognition by Feature Exchange in 3DCNN and MLP
    (IEICE General Conference 2023)
  • Data Augmentation using Adversarial Sample Generation
    (IEICE General Conference 2023)
more...
Education (2):
  • - 1991 Tokyo Institute of Technology Graduate School, Division of Integrated Science and Engineering Precision Machinery Systems
  • - 1989 Tokyo Institute of Technology Faculty of Engineering Department of Electric and Electronic Engineering
Professional career (1):
  • PhD(Engineering) (Tokyo Institute of Technology)
Committee career (8):
  • 2011/05 - 現在 電子情報通信学会 (IEICE) ソサイエティ論文誌編集委員 査読委員
  • 2020/07 - 2021/06 NIPC General Chair
  • 2020/07 - 2021/06 NIPC General Chair
  • 2019/06 - 2020/07 国立大学法人情報系センター協議会 幹事長
  • 2018/04 - 2018/09 International Conference on Neural Information Processing (ICONIP 2018) Program Commitee Member
Show all
Association Membership(s) (3):
Japanese Neural Network Society (JNNS) ,  Institute of Electrical and Electronics Engineers (IEEE) ,  The Institute of Electronics, Information and Communication Engineers.
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page