Toshihisa Kosaka

According to our database, Toshihisa Kosaka authored at least 19 papers between 1992 and 2010.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2010

Feature Selection Method for Classification of New and Used Bills.

Sigeru Omatu, Masao Fujimura, Toshihisa Kosaka

Proceedings of the Distributed Computing and Artificial Intelligence, 2010

2009

Continuous fatigue level estimation for the classification of fatigued bills based on an acoustic signal feature by a supervised SOM.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

Artif. Life Robotics, 2009

Improvment of bank note clasification reribility.

Ali Ahmadi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009

2008

Fatigue level estimation of bill based on feature-selected acoustic energy pattern by using supervised SOM.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the CSTST 2008: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, 2008

Fatigue Level Estimation of Bill by Using Supervised SOM Based on Feature-Selected Acoustic Energy Pattern.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007

Bank note classification using neural networks.

Sigeru Omatu, Michifumi Yoshioka, Toshihisa Kosaka

Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, 2007

2004

Improvement of reliability in banknote classification using reject option and local PCA.

Ali Ahmadi, Sigeru Omatu, Toru Fujinaka, Toshihisa Kosaka

Inf. Sci., 2004

A reliable method for classification of bank notes using artificial neural networks.

Ali Ahmadi, Sigeru Omatu, Toru Fujinaka, Toshihisa Kosaka

Artif. Life Robotics, 2004

2003

An effective reject rule for reliability improvement in bank note neuro-classifiers.

Ali Ahmadi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the NNSP 2003, 2003

A methodology to evaluate and improve reliability in paper currency neuro-classifiers.

Ali Ahmadi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003

2002

Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet Components.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the Artificial Neural Networks, 2002

2001

Bill classification by using the LVQ method.

Toshihisa Kosaka, Sigeru Omatu, Toru Fujinaka

Proceedings of the IEEE International Conference on Systems, 2001

2000

Neuro-Classification of Currency Fatigue Levels Based on Acoustic Cepstrum Patterns.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

J. Adv. Comput. Intell. Intell. Informatics, 2000

Classification of the Italian Lira using the LVQ method.

Toshihisa Kosaka, Sigeru Omatu

Proceedings of the IEEE International Conference on Systems, 2000

Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Classification of the Italian Liras Using the LVQ Method.

Toshihisa Kosaka, Sigeru Omatu

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

New and used bills classification for cepstrum patterns.

Masaru Teranishi, Sigeru Omato, Toshihisa Kosaka

Proceedings of the International Joint Conference Neural Networks, 1999

1998

New and Used Bills Classification Using Competitive Neural Network Based on Cepstrum Pattern.

Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1992

Rotation-invariant neural pattern recognition system with application to coin recognition.

Minoru Fukumi, Sigeru Omatu, Fumiaki Takeda, Toshihisa Kosaka

IEEE Trans. Neural Networks, 1992