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ORCIDTakuya Kitamura
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Journal Articles
- 2010
[j2]Takuya Kitamura, Shigeo Abe:
Subspace-Based L2 Support Vector Machines. Aust. J. Intell. Inf. Process. Syst. 12(3) (2010)- 2009
- [j1]Takuya Kitamura, Syogo Takeuchi, Shigeo Abe
, Kazuhiro Fukui:
Subspace-based support vector machines for pattern classification. Neural Networks 22(5-6): 558-567 (2009)
Conference and Workshop Papers
- 2023
- [c21]Tsukasa Hirashima, Takuya Kitamura, Tomohiro Okinaga, Reo Nagasawa, Yusuke Hayashi:
Triangle Logic Recomposition Exercise for Three-Clause Argument and Its Experimental Evaluation. HCI (6) 2023: 252-262 - 2021
- [c20]Takeshi Yoshida, Takuya Kitamura:
Semi-Hard Margin Support Vector Machines for Personal Authentication with an Aerial Signature Motion. ICANN (4) 2021: 333-344 - [c19]Shogo Takaoka, Takuya Kitamura, Aiga Suzuki, Masahiro Murakawa:
Initialization Method of Batch Uniformization Auto Encoder by Principal Component Analysis. SSCI 2021: 1-6 - 2017
- [c18]Takuya Kitamura, Kazumasa Shinagawa, Takashi Nishide, Eiji Okamoto:
One-time Programs with Cloud Storage and Its Application to Electronic Money. APKC@AsiaCCS 2017: 25-30 - [c17]Yasushi Yuminaka, Takuya Kitamura, Yosuke Iijima:
PAM-4 Eye Diagram Analysis and Its Monitoring Technique for Adaptive Pre-Emphasis for Multi-valued Data Transmissions. ISMVL 2017: 13-18 - [c16]Fumito Ebuchi, Takuya Kitamura:
Fast Sparse Least Squares Support Vector Machines by Block Addition. ISNN (1) 2017: 60-70 - 2016
- [c15]Takuya Kitamura:
Sparse Extreme Learning Machine Classifier Using Empirical Feature Mapping. ICANN (1) 2016: 486-493 - 2015
- [c14]Takuya Kitamura, Kohei Asano:
Sparse LS-SVM in the Sorted Empirical Feature Space for Pattern Classification. ICONIP (1) 2015: 549-556 - 2013
- [c13]Takuya Kitamura, Kengo Ota:
Improved Multi-class Support Vector Machines Using Novel Methods of Model Selection and Feature Extraction. ICONIP (2) 2013: 299-306 - 2012
- [c12]Takuya Kitamura, Kohei Ohno, Makoto Itami:
Improving of performance of OFDM reception under Class-A impulsive channel by replica signal estimation of impulse. ICCE 2012: 620-621 - [c11]Takuya Kitamura, Takamasa Sekine:
A Novel Method of Sparse Least Squares Support Vector Machines in Class Empirical Feature Space. ICONIP (2) 2012: 475-482 - [c10]Takuya Kitamura, Hiroshi Ando, Kohei Ohno, Makoto Itami:
The impulsive noise reduction using it's replica signal under Class-A impulsive channel. WPMC 2012: 463-467 - 2011
- [c9]Takuya Kitamura, Shigeo Abe, Yusuke Tanaka:
Multiple Nonlinear Subspace Methods Using Subspace-based Support Vector Machines. ICMLA (1) 2011: 358-363 - 2010
- [c8]Toshiyuki Horiuchi, Hiroyuki Watanabe, Naoki Hayashi, Takuya Kitamura:
Simply Fabricated Precise Microfluidic Mixer with Resist Flow Paths Sealed by an Acrylic Lid. BIODEVICES 2010: 82-87 - [c7]Yasuyuki Tajiri, Ryousuke Yabuwaki, Takuya Kitamura, Shigeo Abe:
Feature Extraction Using Support Vector Machines. ICONIP (2) 2010: 108-115 - [c6]Takuya Kitamura, Syogo Takeuchi, Shigeo Abe:
Feature selection and fast training of subspace based support vector machines. IJCNN 2010: 1-6 - 2009
- [c5]Takuya Kitamura, Shigeo Abe, Kazuhiro Fukui:
Subspace based least squares support vector machines for pattern classification. IJCNN 2009: 1640-1646 - [c4]Syogo Takeuchi, Takuya Kitamura, Shigeo Abe, Kazuhiro Fukui:
Subspace based linear programming support vector machines. IJCNN 2009: 3067-3073 - [c3]Daisuke Chugo, Tai Asawa, Takuya Kitamura, Songmin Jia, Kunikatsu Takase:
A motion control of a robotic walker for continuous assistance during standing, walking and seating operation. IROS 2009: 4487-4492 - 2008
- [c2]Daisuke Chugo, Tai Asawa, Takuya Kitamura, Songmin Jia, Kunikatsu Takase:
A rehabilitation walker with standing and walking assistance. IROS 2008: 260-265 - [c1]Daisuke Chugo, Tai Asawa, Takuya Kitamura, Songmin Jia, Kunikatsu Takase:
A moving control of a robotic walker for standing, walking and seating assistance. ROBIO 2008: 692-697
Coauthor Index
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