Subspace-based support vector machines for pattern classification T Kitamura, S Takeuchi, S Abe, K Fukui Neural Networks 22 (5-6), 558-567, 2009 | 15 | 2009 |
Feature extraction using support vector machines Y Tajiri, R Yabuwaki, T Kitamura, S Abe Neural Information Processing. Models and Applications: 17th International …, 2010 | 13 | 2010 |
Feature selection and fast training of subspace based support vector machines T Kitamura, S Takeuchi, S Abe The 2010 International Joint Conference on Neural Networks (IJCNN), 1-6, 2010 | 9 | 2010 |
A novel method of sparse least squares support vector machines in class empirical feature space T Kitamura, T Sekine Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012 | 6 | 2012 |
Fast sparse least squares support vector machines by block addition F Ebuchi, T Kitamura Advances in Neural Networks-ISNN 2017: 14th International Symposium, ISNN …, 2017 | 4 | 2017 |
Subspace based least squares support vector machines for pattern classification T Kitamura, S Abe, K Fukui 2009 International Joint Conference on Neural Networks, 1640-1646, 2009 | 4 | 2009 |
Subspace based linear programming support vector machines S Takeuchi, T Kitamura, S Abe, K Fukui 2009 International Joint Conference on Neural Networks, 3067-3073, 2009 | 2 | 2009 |
Improvement of personal authentication by aerial signature T Yoshida, T Kitamura IEICE Technical Report; IEICE Tech. Rep. 119 (476), 45-50, 2020 | 1 | 2020 |
Sparse extreme learning machine classifier using empirical feature mapping T Kitamura Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016 | 1 | 2016 |
Sparse LS-SVM in the sorted empirical feature space for pattern classification T Kitamura, K Asano Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015 | 1 | 2015 |
標本部分空間法に基づくサポートベクトルマシンの開発 北村拓也, 竹内翔吾, 阿部重夫 情報処理学会論文誌数理モデル化と応用 (TOM) 3 (3), 12-23, 2010 | 1 | 2010 |
Subspace-based L2 support vector machines T Kitamura, S Abe Australian Journal of Information Intelligent Processing Systems 12 (3), 38-43, 2010 | 1 | 2010 |
Anomaly Detection by One-class Convolution Extreme Learning Machine Using Multiple Kernel Y Okami, T Kitamura IEICE Technical Report; IEICE Tech. Rep. 123 (311), 7-12, 2023 | | 2023 |
Improvement of Composite SVM in HSI Classification A TAMURA, T KITAMURA 電子情報通信学会技術研究報告 (Web) 122 (329 (MSS2022 44-61)), 96-100, 2023 | | 2023 |
Sentiment analysis for SNS by considering continuity between sentences I HONDA, T KITAMURA 知能システムシンポジウム講演資料 (CD-ROM) 49, 2-1, 2022 | | 2022 |
Initialization Method of Batch Uniformization Auto Encoder by Principal Component Analysis S Takaoka, T Kitamura, A Suzuki, M Murakawa 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2021 | | 2021 |
Semi-Hard Margin Support Vector Machines for Personal Authentication with an Aerial Signature Motion T Yoshida, T Kitamura Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | | 2021 |
空中筆記動作による個人認証処理の改良 吉田岳, 北村拓也 電子情報通信学会技術研究報告; 信学技報 119 (476), 45-50, 2020 | | 2020 |
CNN を用いた音声・空中筆記動作マルチモーダル個人認証システム 高岡昇吾, 吉田岳, 北村拓也 電子情報通信学会技術研究報告; 信学技報 119 (476), 37-43, 2020 | | 2020 |
Multi-modal Personal Authentication System Using CNN with Voice and Aerial Signature S Takaoka, T Yoshida, T Kitamura IEICE Technical Report; IEICE Tech. Rep. 119 (476), 37-43, 2020 | | 2020 |