ABE SHIGEO 阿部重夫

… Alternative Names

Abe Shigeo 阿部重夫

ABE Shigeo 阿部重夫

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Researcher Number	50294195
Other IDs
External Links
Affiliation (Current)	2025: 神戸大学, 工学研究科, 名誉教授
Affiliation (based on the past Project Information) *help	2025: 神戸大学, 工学研究科, 名誉教授 2019 – 2023: 神戸大学, 工学研究科, 名誉教授 2015: 神戸大学, 工学研究科, 名誉教授 2013 – 2015: 神戸大学, 工学(系)研究科(研究院), 名誉教授 2008: Kobe University, 大学院工学研究科, 教授 … More 2007 – 2008: Kobe University, 工学研究科, 教授 2005 – 2006: 神戸大学, 自然科学研究科, 教授 1999 – 2005: Graduate School of Science and Technology, Kobe University, Professor, 大学院・自然科学研究科, 教授 1998: 神戸大学, 工学部, 教授 Less
Review Section/Research Field	Principal Investigator Basic Section 21040:Control and system engineering-related / System engineering / System engineering / Control engineering/System engineering
Keywords	Principal Investigator パターン認識 / サポートベクトルマシン / Pattern Recognition / 特徴選択 / Image Processing / 画像処理 / Generalization Ability / Neural Networks / Function Approximation / Fuzzy Systems … More / 汎化能力 / ニューラルネット / ファジィ推論 / 特徴抽出 / カーネル法 / マージン分布 / 学習 / 線形計画法 / 最大マージンの最小化 / 最小マージンの最大化 / Feature Selection / Face Recognition / Support Vector Machines / Knowledge Acquisition / Data Mining / クラスタリング / 音響診断 / 顔画像認識 / 知識獲得 / データマイニング / Kernel Function / Fuzzy Inference / Training Method / Multicalss Problem / Diagnosis / Support Vector Machine / カーネル関数 / 学習方式 / 多クラス問題 / 設備診断 / RuleAcquisition / ニュートラルネット / 学習パラダイム / ファジィパターン認識 / Rule Acquisition / 関数近似 / ルール獲得 / ファジィシステム / ブロック削除 / ブロック追加 / オンライン特徴抽出 / カーネル判別分析 / マルチプルクラシファイアシステム / システム情報(知識)処理 / マハラノビスカーネル / カーネル / 標本特徴空間 / 特徴空間 Less

高汎化能力安定識別器の開発Principal Investigator
- Principal Investigator
  
  阿部重夫
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 21040:Control and system engineering-related
- Research Institution
  Kobe University
Development of high generalization classifiers by maximizing the minimum margin and minimizing the maximum marginPrincipal Investigator
- Principal Investigator
  
  阿部重夫
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 21040:Control and system engineering-related
- Research Institution
  Kobe University
Development of high generalization classifiers by controlling margin distributionsPrincipal Investigator
- Principal Investigator
  
  Abe Shigeo
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 21040:Control and system engineering-related
- Research Institution
  Kobe University
Development of feature selection methods for large-input, small-sample problemsPrincipal Investigator
- Principal Investigator
  
  Abe Shigeo
- Project Period (FY)
  2013 – 2015
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Control engineering/System engineering
- Research Institution
  Kobe University
Optimizing and Visualizing Kernel ClassifiersPrincipal Investigator
- Principal Investigator
  
  ABE Shigeo
- Project Period (FY)
  2007 – 2008
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  System engineering
- Research Institution
  Kobe University
特徴空間の構造の解明とパターン認識に適したカーネルの開発Principal Investigator
- Principal Investigator
  
  阿部重夫
- Project Period (FY)
  2005 – 2007
- Research Category
  
  Grant-in-Aid for Exploratory Research
- Research Field
  
  System engineering
- Research Institution
  Kobe University
Research of Knowledge Acquisition and System Development by Data MiningPrincipal Investigator
- Principal Investigator
  
  ABE Shigeo
- Project Period (FY)
  2004 – 2005
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  System engineering
- Research Institution
  Kobe University
Development of Multiclass Support Vector Machines and Their Application to Diagnosis and Image ProcessingPrincipal Investigator
- Principal Investigator
  
  ABE Shigeo
- Project Period (FY)
  2002 – 2003
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  System engineering
- Research Institution
  Kobe University
Development of Unified Learning Paradigm for Fuzzy Pattern Classification SystemsPrincipal Investigator
- Principal Investigator
  
  ABE Shigeo
- Project Period (FY)
  2000 – 2001
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  System engineering
- Research Institution
  Kobe University
Development of Fuzzy Systems with Learning CapabilityPrincipal Investigator
- Principal Investigator
  
  ABE Shigeo
- Project Period (FY)
  1998 – 1999
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  System engineering
- Research Institution
  Kobe University

All 2023 2022 2021 2020 2019 2015 2014 2013 2009 2008 2007 2005 2004 Other

All Journal Article Presentation Book

[Book] Online Incremental Face Recognition System Using Eigenface Feature and Neural Classifier, in State of the Art in Face Recognition, Julio Ponce and Adem Karahoca, Eds.2009
- Author(s)
  Seiichi Ozawa, Shigeo AbeAbe, Shaoning Pang, and Nikola Kasabov
- Publisher
  IN-TECH
- Data Source
  KAKENHI-PROJECT-19360182
[Book] Optimizing Mahalanobis Kernels for Pattern Classification, in Pattern Recognition: Theory and Application, E. A. Zoeller, Ed.2008
- Author(s)
  Shigeo Abe
- Publisher
  Nova Science Publishers
- Data Source
  KAKENHI-PROJECT-19360182
[Book] Optimizing Mahalanobis Kernels for Pattern Classification, In Pattern Recognition: Theory and Application2008
- Author(s)
  Shigeo Abe
- Publisher
  Nova Science Publishers
- Data Source
  KAKENHI-PROJECT-17656130
[Book] Support Vector Machines for Pattern Classification2005
- Author(s)
  Shigeo Abe
- Total Pages
  352
- Publisher
  Springer-Verlag
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-16360199
[Journal Article] Training Minimal Complexity Support Vector Machines with Multiple Kernels2023
- Author(s)
  Shigeo Abe
- Journal Title
  
  2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
  
  Volume: 1 Pages: 913-919
- DOI
  10.1109/smc53992.2023.10394217
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K04154
[Journal Article] Soft upper-bound support vector machines2022
- Author(s)
  Shigeo Abe
- Journal Title
  
  2022 International Joint Conference on Neural Networks (IJCNN)
  
  Volume: 1 Pages: 1-8
- DOI
  10.1109/ijcnn55064.2022.9892425
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K04154
[Journal Article] Do Minimal Complexity Least Squares Support Vector Machines Work?2022
- Author(s)
  Shigeo Abe
- Journal Title
  
  Artificial Neural Networks in Pattern Recognition: 10th IAPR TC3 Workshop, ANNPR 2022
  
  Volume: 13739 Pages: 53-64
- DOI
  10.1007/978-3-031-20650-4_5
- ISBN
  9783031206498, 9783031206504
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K04154
[Journal Article] Soft Upper-bound Minimal Complexity LP SVMs2021
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc. 2021 International Joint Conference on Neural Networks (IJCNN)
  
  Volume: 1 Pages: 1-7
- DOI
  10.1109/ijcnn52387.2021.9533540
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K04441
[Journal Article] Minimal Complexity Support Vector Machines for Pattern Classification2020
- Author(s)
  Shigeo Abe
- Journal Title
  
  Computers
  
  Volume: 9 Issue: 4 Pages: 88-88
- DOI
  10.3390/computers9040088
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K04441
[Journal Article] Minimal Complexity Support Vector Machines2020
- Author(s)
  Shigeo Abe
- Journal Title
  
  IAPR Workshop on Artificial Neural Networks in Pattern Recognition
  
  Volume: 1 Pages: 89-101
- DOI
  10.1007/978-3-030-58309-5_7
- ISBN
  9783030583088, 9783030583095
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K04441
[Journal Article] Analyzing Minimal Complexity Machines2019
- Author(s)
  Abe Shigeo
- Journal Title
  
  2019 International Joint Conference on Neural Networks (IJCNN)
  
  Volume: 1 Pages: 1-8
- DOI
  10.1109/ijcnn.2019.8852084
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K04441
[Journal Article] Resolving Unclassifiable Regions in Multilabel Classification by Fuzzy Support Vector Machines2015
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc. LWA 2015 Workshops: KDML, FGWM, IR and FGDB
  
  Volume: 1 Pages: 158-158
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-25420438
[Journal Article] Optimizing working sets for training support vector regressors by Newton's method2015
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc. IJCNN 2015
  
  Volume: 1 Pages: 93-100
- DOI
  10.1109/ijcnn.2015.7280309
- NAID
  120005723203
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25420438
[Journal Article] Fuzzy Support Vector Machines for Multilabel Classification2015
- Author(s)
  Shigeo Abe
- Journal Title
  
  Pattern Recognition
  
  Volume: 48 Issue: 6 Pages: 2110-2117
- DOI
  10.1016/j.patcog.2015.01.009
- NAID
  120005982552
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25420438
[Journal Article] Fusing Sequential Minimal Optimization and Newton's Method for Support Vector Training2014
- Author(s)
  Shigeo Abe
- Journal Title
  
  International Journal of Machine Learning and Cybernetics
  
  Volume: 1 Issue: 3 Pages: 1-20
- DOI
  10.1007/s13042-014-0265-x
- NAID
  120005723202
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25420438
[Journal Article] Incremental Feature Selection by Block Addition and Block Deletion Using Least Squares SVRs2014
- Author(s)
  Shigeo Abe
- Journal Title
  
  ANNPR 2014, LNAI 8774
  
  Volume: 1 Pages: 35-46
- NAID
  120005753736
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25420438
[Journal Article] Incremental Input Variable Selection by Block Addition and Block Deletion2014
- Author(s)
  Shigeo Abe
- Journal Title
  
  ICANN 2014, LNCS 8681
  
  Volume: 1 Pages: 547-554
- NAID
  120005753737
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25420438
[Journal Article] Feature Selection by Iterative Block Addition and Block Deletion2013
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc. IEEE SMC Conference
  
  Volume: 1 Pages: 2677-2682
- DOI
  10.1109/smc.2013.456
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25420438
[Journal Article] Decomposition Techniques for Training Linear Programming Support Vector Machines2009
- Author(s)
  Yusuke Torii and Shigeo Abe
- Journal Title
  
  Neurocomputing 72
  
  Pages: 973-984
- NAID
  120001478926
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19360182
[Journal Article] Batcch Support Vector Training Based on Exact Incremental Training2008
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc. ICANN 2008
  
  Pages: 295-304
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19360182
[Journal Article] Kernel Discriminant Analysis Based Feature Selection2008
- Author(s)
  Tsuneyoshi Ishii, Masamichi Ashihara, and Shigeo Abe
- Journal Title
  
  Neurocomputing 71
  
  Pages: 2544-2552
- NAID
  120001478927
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19360182
[Journal Article] sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminanl Analysis2008
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc. ANNPR 2008
  
  Pages: 54-65
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19360182
[Journal Article] Comparison of sparse least squares support vector regressors trained in primal and dual2008
- Author(s)
  Shigco Abe
- Journal Title
  
  Proc. ESANN 2008
  
  Pages: 469-474
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19360182
[Journal Article] A Learning Algorithm of Boosting Kernel Discriminant Analysis for Pattern Recognition2007
- Author(s)
  Shinji Kita, Seiichi Ozawa, Satoshi Maekawa, and Shigeo Abe
- Journal Title
  
  IEICE Trans. Information Systems E90-D
  
  Pages: 1853-1863
- NAID
  110007541161
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19360182
[Journal Article] Sparse Least Squares Support Vector Training in the Reduced Empirical Feature Space2007
- Author(s)
  Shigeo Abe
- Journal Title
  
  Pattern Analysis & Applications 10
  
  Pages: 203-214
- NAID
  120000945576
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19360182
[Journal Article] Optimizing Kernel Parameters by Second-Order Methods2007
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc. European Symposium on Artificial Neural Networks (ESANN 2007)
  
  Pages: 259-264
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17656130
[Journal Article] Sparse Least Squares Support Vector Training in the Reduced Empirical Feature Space2007
- Author(s)
  Shigeo Abe
- Journal Title
  
  Pattern Analysis & Applications 11
  
  Pages: 203-214
- NAID
  120000945576
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17656130
[Journal Article] Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Fcature Space2007
- Author(s)
  Shigeo Abe
- Journal Title
  
  International Conference on Neural Networks (ICANN 2007) Part II
  
  Pages: 180-189
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17656130
[Journal Article] Training of Support Vector Machines with Mahalanobis Kernels2005
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc.ICANN 2005 2
  
  Pages: 571-576
- NAID
  120000945452
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-16360199
[Journal Article] Training of Kernel Fuzzy Classifiers by Dynamic Cluster Generation2005
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc. IEEE ICDM 2005 Workshop on Computational Intelligence in Data Mining
  
  Pages: 13-20
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-16360199
[Journal Article] Training of Support Vector Machines with Mahalanobis Kernels2005
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc. ICANN 2005 第2巻
  
  Pages: 571-576
- NAID
  120000945452
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-16360199
[Journal Article] Training of Kernel Fuzzy Classifiers by Dynamic Cluster Generation2005
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc.IEEE ICDM 2005 Workshop on Computational Intelligence in Data Mining
  
  Pages: 13-20
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-16360199
[Journal Article] Training of Support Vector Machines with Mahalanobis Kernels2005
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc.ICANN 2005 第2巻
  
  Pages: 571-576
- NAID
  120000945452
- Data Source
  KAKENHI-PROJECT-17656130
[Journal Article] Modified Backward Feature Selection by Cross Validation2005
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc.ESANN 2005
  
  Pages: 163-168
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-16360199
[Journal Article] Training of Support Vector Machines with Mahalanobis Kernels2005
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc.ICANN 2005 第2巻
  
  Pages: 571-576
- NAID
  120000945452
- Data Source
  KAKENHI-PROJECT-16360199
[Journal Article] Training of Kernel Fuzzy Classifiers by Dynamic Cluster Generation2005
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc.IEEE ICDM 2005 workshop on Computational Intelligence in Data Mining
  
  Pages: 13-20
- Data Source
  KAKENHI-PROJECT-16360199
[Journal Article] Fuzzy LP-SVMs for Multiclass Problems2004
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc.12th European Symposium on Artificial Neural Networks (ESANN 2004)
  
  Pages: 429-434
- Data Source
  KAKENHI-PROJECT-16360199
[Journal Article] Fuzzy LP-SVMs for Multiclass Problems2004
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc. 12th European Symposium on Artificial Neural Networks(ESANN 2004)
  
  Pages: 429-434
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-16360199
[Journal Article] Fuzzy LP-SVMs for Multiclass Problems2004
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc.ESANN 2004
  
  Pages: 429-434
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-16360199
[Journal Article] Sparse Least Squares Support Vector Training in the Reduced Empirical Feature Space
- Author(s)
  Shigeo Abe
- Journal Title
  
  Pattern Analysis ＆ Applications (印刷中)
- NAID
  120000945576
- Data Source
  KAKENHI-PROJECT-17656130
[Journal Article] Comparison of sparse least squares support regressors trained in primal and dual
- Author(s)
  Shigeo Abe
- Journal Title
  
  Proc. European Symposium on Artificial Neural Networks (ESANN 2008) (印刷中)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17656130
[Presentation] ANNPR 20082008
- Author(s)
  Shigeo Abe
- Organizer
  Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis, Proc.
- Place of Presentation
  Paris, France
- Data Source
  KAKENHI-PROJECT-19360182
[Presentation] IJCNN 20082008
- Author(s)
  Kazuki Iwamura and Shigeo Abe
- Organizer
  Sparse Support Vector Machines Trained in the Reduced Empirical Feature Space, Proc.
- Place of Presentation
  Hong Kong, China
- Data Source
  KAKENHI-PROJECT-19360182
[Presentation] IJCNN2008
- Author(s)
  Tsunekichi Ishii and Shigeo Abe
- Organizer
  Feature Selection Based on Kernel Discriminant Analysis for Multi-class Problems, Proc.
- Place of Presentation
  Hong Kong, China
- Data Source
  KAKENHI-PROJECT-19360182
[Presentation] IJCNN 20072007
- Author(s)
  Yohei Takeuchi, Seiichi Ozawa, and Shigeo Abe
- Organizer
  An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection, Proc.
- Place of Presentation
  Orlando, Florida, USA
- Data Source
  KAKENHI-PROJECT-19360182
[Presentation] ISPACS 20072007
- Author(s)
  Shinji Kita, Seiichi Ozawa, Satoshi Maekawa, and Shigeo Abe
- Organizer
  Boosting Kernel Discriminant Analysis for Pattern Classification, Proc.
- Place of Presentation
  Xiamen, China
- Data Source
  KAKENHI-PROJECT-19360182
[Presentation] IJCNN 20072007
- Author(s)
  Takashi Nagatani and Shigeo Abe
- Organizer
  Backward Variable Selection of Support Vector Regressors by Block Deletion, Proc.
- Place of Presentation
  Orlando, Florida, USA
- Data Source
  KAKENHI-PROJECT-19360182
[Presentation] ICANN 20072007
- Author(s)
  Ryota Hosokawa and Shigeo Abe
- Organizer
  Fuzzy Classifiers Based on Kernel Discriminant Analysis, Proc.
- Place of Presentation
  Porto, Portugal
- Data Source
  KAKENHI-PROJECT-19360182

1. OZAWA Seiichi (70214129)

# of Collaborated Projects: 3 results

# of Collaborated Products: 4 results
2. YOSHIMURA Motohide (60335461)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
3. KOTANI Manabu (30215272)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

ABE SHIGEO 阿部 重夫

Abe Shigeo 阿部 重夫

ABE Shigeo 阿部 重夫

Research Projects

Research Products

Co-Researchers

高汎化能力安定識別器の開発Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of high generalization classifiers by maximizing the minimum margin and minimizing the maximum marginPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of high generalization classifiers by controlling margin distributionsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of feature selection methods for large-input, small-sample problemsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Optimizing and Visualizing Kernel ClassifiersPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

特徴空間の構造の解明とパターン認識に適したカーネルの開発Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Research of Knowledge Acquisition and System Development by Data MiningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Development of Multiclass Support Vector Machines and Their Application to Diagnosis and Image ProcessingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Development of Unified Learning Paradigm for Fuzzy Pattern Classification SystemsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Development of Fuzzy Systems with Learning CapabilityPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] Online Incremental Face Recognition System Using Eigenface Feature and Neural Classifier, in State of the Art in Face Recognition, Julio Ponce and Adem Karahoca, Eds.2009

Author(s)

Publisher

Data Source

[Book] Optimizing Mahalanobis Kernels for Pattern Classification, in Pattern Recognition: Theory and Application, E. A. Zoeller, Ed.2008

Author(s)

Publisher

Data Source

[Book] Optimizing Mahalanobis Kernels for Pattern Classification, In Pattern Recognition: Theory and Application2008

Author(s)

Publisher

Data Source

[Book] Support Vector Machines for Pattern Classification2005

Author(s)

ABE SHIGEO 阿部重夫

Abe Shigeo 阿部重夫

ABE Shigeo 阿部重夫