Shingo Tomita

According to our database, Shingo Tomita authored at least 32 papers between 1971 and 2008.

Collaborative distances:

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

2008

Realization of Pressfitting by Impact Manipulation Using an Under-Actuated Manipulator.

Shinichiro Shindo, Shingo Tomita, Yasumichi Aiyama

Int. J. Autom. Technol., 2008

2002

On a higher-order neural network for distortion invariant pattern recognition.

Takeshi Kaita, Shingo Tomita, Junkichi Yamanaka

Pattern Recognit. Lett., 2002

1998

A gabor filter-based method for recognizing handwritten numerals.

Yoshihiko Hamamoto, Shunji Uchimura, Masanori Watanabe, Tetsuya Yasuda, Yoshihiro Mitani, Shingo Tomita

Pattern Recognit., 1998

Analysis of Gabor Parameters for Handwritten Numeral Recognition by Experimental Design.

Shunji Uchimura, Kiyoshi Mizuno, Yoshihiko Hamamoto, Shingo Tomita

Proceedings of the Advances in Pattern Recognition, 1998

1997

A Bootstrap Technique for Nearest Neighbor Classifier Design.

Yoshihiko Hamamoto, Shunji Uchimura, Shingo Tomita

IEEE Trans. Pattern Anal. Mach. Intell., 1997

Normalization Techniques of Handwritten Numerals for Gabor Filters.

Masanori Watanabe, Yoshihiko Hamamoto, Tetsuya Yasuda, Shingo Tomita

Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), 1997

1996

On the estimation of a covariance matrix in designing Parzen classifiers.

Yoshihiko Hamamoto, Yasushi Fujimoto, Shingo Tomita

Pattern Recognit., 1996

On the Behavior of Artificial Neural Network Classifiers in High-Dimensional Spaces.

Yoshihiko Hamamoto, Shunji Uchimura, Shingo Tomita

IEEE Trans. Pattern Anal. Mach. Intell., 1996

Evaluation of the Noise Injection in High Dimensions.

Yoshihiro Mitani, Yoshihiko Hamamoto, Shingo Tomita

Proceedings of IAPR Workshop on Machine Vision Applications, 1996

Selection of Representatives Using Genetic Algorithms.

Yoshihiko Hamamoto, Y. Tsuneta, C. Kaneyama, Shingo Tomita

Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

A Note on the Generalization Error in Neural Networks.

Yoshihiko Hamamoto, Toshinori Hase, Yoshihiro Mitani, Shingo Tomita

Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

Recognition of handwritten numerals using Gabor features.

Yoshihiko Hamamoto, Shunji Uchimura, Masanori Watanabe, Tetsuya Yasuda, Shingo Tomita

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Evaluation of an anti-regularization technique in neural networks.

Yoshihiko Hamamoto, Yoshihiro Mitani, H. Ishihara, Toshinori Hase, Shingo Tomita

Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995

Effects of the sample size in artificial neural network classifier design.

Shunji Uchimura, Yoshihiko Hamamoto, Shingo Tomita

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

On the effect of the nonlinearity of the sigmoid function in artificial neural network classifiers.

Shunji Uchimura, Yoshihiko Hamamoto, Shingo Tomita

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Use of bootstrap samples in designing artificial neural network classifiers.

Yoshihiro Mitani, Yoshihiko Hamamoto, Shingo Tomita

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Recognition of handprinted Chinese characters using Gabor features.

Yoshihiko Hamamoto, Shunji Uchimura, K. Masamizu, Shingo Tomita

Proceedings of the Third International Conference on Document Analysis and Recognition, 1995

1994

A note on a higher-order neural network for distortion invariant pattern recognition.

Manabu Takano, Taiho Kanaoka, Josef Skrzypek, Shingo Tomita

Pattern Recognit. Lett., 1994

Use of Gradated Patterns in An Associative Neural Memory for Invariant Pattern Recognition.

Kazukuni Kobara, Taiho Kanaoka, Yoshihiko Hamamoto, Shingo Tomita, Koukichi Munechika

Int. J. Pattern Recognit. Artif. Intell., 1994

1993

On a theoretical comparison between the orthonormal discriminant vector method and discriminant analysis.

Yoshihiko Hamamoto, Taiho Kanaoka, Shingo Tomita

Pattern Recognit., 1993

1992

A searching method of the most similar string in the file of a document retrieval system.

Kiyohiro Kobayashi, Tsuguyasu Imamura, Masashi Takahashi, Fumiko Kubota, Taiho Kanaoka, Yoshihiko Hamamoto, Shingo Tomita

Syst. Comput. Jpn., 1992

A higher-order neural network for distortion invariant pattern recognition.

Taiho Kanaoka, Rama Chellappa, Matsubuchi Yoshitaka, Shingo Tomita

Pattern Recognit. Lett., 1992

Orthogonal discriminant analysis based on a modified Fisher criterion [feature extraction].

Yoshihiko Hamamoto, Akihiko Ohama, Taiho Kanaoka, Shingo Tomita

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991

A note on the orthonormal discriminant vector method for feature extraction.

Yoshihiko Hamamoto, Yutaka Matsuura, Taiho Kanaoka, Shingo Tomita

Pattern Recognit., 1991

1990

Evaluation of the branch and bound algorithm for feature selection.

Yoshihiko Hamamoto, Shunji Uchimura, Yutaka Matsuura, Taiho Kanaoka, Shingo Tomita

Pattern Recognit. Lett., 1990

Orthogonal discriminant analysis for interactive pattern analysis.

Yoshihiko Hamamoto, Taiho Kanaoka, Shingo Tomita

Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990

1985

Homogeneous Decomposition of Stochastic Systems.

Taiho Kanaoka, Shingo Tomita

Theor. Comput. Sci., 1985

An optimal orthonormal system for discriminant analysis.

Toshiniko Okada, Shingo Tomita

Pattern Recognit., 1985

1984

Learning behavior of variable-structure stochastic automata in a three-person zero-sum game.

Kenshiro Okamura, Taiho Kanaoka, Toshiniko Okada, Shingo Tomita

IEEE Trans. Syst. Man Cybern., 1984

The Decomposition of Stochastic Systems.

Taiho Kanaoka, Shingo Tomita

Theor. Comput. Sci., 1984

1983

A Whirl decomposition of stochastic systems based on the substitution property.

Taiho Kanaoka, Shingo Tomita

IEEE Trans. Syst. Man Cybern., 1983

1971

On the Classification of Patterns by the Karhunen-Loeve Orthogonal System Without Supervisor.

Shingo Tomita, Shoichi Noguchi

Proceedings of the 2nd International Joint Conference on Artificial Intelligence. London, 1971