TAKUYA KITAMURA

キタムラタクヤ | TAKUYA KITAMURA

Affiliation and department：

Research field (2)： Soft computing , Intelligent informatics

Research keywords (6)： Support Vector Machine , anomaly detection , 個人認証 , 機械学習 , データマイニング , パターン認識

Research theme for competitive and other funds (8)：

2021 - 2024 疑似データ生成による異常検知性能向上と個人認証への応用
2020 - 2021 行動的特徴を用いた非接触型マルチモーダル個人認証への深層学習の適用
2016 - 2017 身体・行動的特徴を用いたマルチモーダル個人認証システムの開発
2015 - Sparse LS-SVM in the Sorted Empirical Feature Space for Pattern Classification
2013 - 2014 Sparse support vector machine for big problem which sequentially-add categories

Show all

Papers (16)：

Shogo Takaoka, Takuya Kitamura, Aiga Suzuki, Masahiro Murakawa. Initialization Method of Batch Uniformization Auto Encoder by Principal Component Analysis. SSCI. 2021. 1-6
Takeshi Yoshida, Takuya Kitamura. Semi-Hard Margin Support Vector Machines for Personal Authentication with an Aerial Signature Motion. Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks. 2021. 333-344
Fumito Ebuchi, Takuya Kitamura. Fast Sparse Least Squares Support Vector Machines by Block Addition. Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran. 2017. 60-70
Takuya Kitamura. Sparse Extreme Learning Machine Classifier Using Empirical Feature Mapping. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2016, PT I. 2016. 9886. 486-493
KITAMURA TAKUYA, SEKINE TAKAMASA, TSUKAGOSHI YUKI. Fast Sparse Least Squares Support Vector Training by Feature Extraction for Each Category. 2015. 8. 1. 7-17

ｍore...

MISC (39)：

田村明人, 北村拓也. Improvement of Composite SVM in HSI Classification. 電子情報通信学会技術研究報告(Web). 2023. 122. 329(MSS2022 44-61)
大石悠貴, 北村拓也. Origin shift based on maximizing the margin for subspace method. 知能システムシンポジウム講演資料(CD-ROM). 2022. 49th (Web)
本田一期, 北村拓也. Sentiment analysis for SNS by considering continuity between sentences. 知能システムシンポジウム講演資料(CD-ROM). 2022. 49th (Web)
北村拓也. AI・機械学習機械学習のこれまでとこれから. 電気計算. 2022. 90. 6
石倉優資, 北村拓也. Multilayer Multiple Kernel Based One-class Extreme Learning Machines. 自律分散システム・シンポジウム(CD-ROM). 2022. 34th

ｍore...

Books (2)：

Lectures and oral presentations (8)：

1クラス畳み込みELMによる異常検知
(第25回情報論的学習理論ワークショップ (IBIS2022) 2022)
ハイパースペクトル画像分類における畳み込みSVM
(第25回情報論的学習理論ワークショップ (IBIS2022) 2022)
深層サポートベクトルデータ記述法(DSVDD)におけるファインチューニングの効率化と異常検知への適用
(第25回情報論的学習理論ワークショップ (IBIS2022) 2022)
異常検知のためのAEの学習効率を改善する初期化手法
(第23回画像の認識・理解シンポジウム 2020)
PruningによるELMのスパース化
(第22回情報論的学習理論ワークショップ 2019)

ｍore...

Education (3)：

2009 - 2011 Kobe University Graduate School of Engineering Department of Electrical and Electronic Engineering
2008 - 2009 Kobe University Graduate School of Engineering Department of Electrical and Electronic Engineering
2004 - 2008 Kobe University Faculty of Engineering Department of Electrical and Electronic Engineering

Professional career (1)：

Work history (3)：

2023/04 - 現在 National Institute of Technology, Toyama College Department of Electrical and Control Systems Engineering
2019/10 - 2023/03 National Institute of Technology, Toyama College Department of Electrical and Control Systems Engineering
2011/04 - 2019/09 National Institute of Technology, Toyama College

Awards (3)：

2011/02 - IEEE Kansai section IEEE Kansai Section Student Paper Award Feature Selection and Fast Training of Subspace Based Support Vector Machines
2010/07 - International Neural Network Society (INNS) Travel Grants Award
2010/03 - 神戸大学大学院工学研究科電気電子工学専攻竹水会優秀論文賞部分空間法に基づくサポートベクトルマシンの開発

Association Membership(s) (2)：

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