Shingo Tomita

Publication Activity (10 Years)

Years Active: 1971-2008
Publications (10 Years): 0

Publications

Shinichiro Shindo, Shingo Tomita, Yasumichi Aiyama
Realization of Pressfitting by Impact Manipulation Using an Under-Actuated Manipulator. Int. J. Autom. Technol. 2 (4) (2008)
Takeshi Kaita, Shingo Tomita, Junkichi Yamanaka
On a higher-order neural network for distortion invariant pattern recognition. Pattern Recognit. Lett. 23 (8) (2002)
Yoshihiko Hamamoto, Shunji Uchimura, Masanori Watanabe, Tetsuya Yasuda, Yoshihiro Mitani, Shingo Tomita
A gabor filter-based method for recognizing handwritten numerals. Pattern Recognit. 31 (4) (1998)
Shunji Uchimura, Kiyoshi Mizuno, Yoshihiko Hamamoto, Shingo Tomita
Analysis of Gabor Parameters for Handwritten Numeral Recognition by Experimental Design. SSPR/SPR (1998)
Yoshihiko Hamamoto, Shunji Uchimura, Shingo Tomita
A Bootstrap Technique for Nearest Neighbor Classifier Design. IEEE Trans. Pattern Anal. Mach. Intell. 19 (1) (1997)
Masanori Watanabe, Yoshihiko Hamamoto, Tetsuya Yasuda, Shingo Tomita
Normalization Techniques of Handwritten Numerals for Gabor Filters. ICDAR (1997)
Yoshihiko Hamamoto, Yoshihiro Mitani, H. Ishihara, Toshinori Hase, Shingo Tomita
Evaluation of an anti-regularization technique in neural networks. ICPR (1996)
Yoshihiko Hamamoto, Shunji Uchimura, Shingo Tomita
On the Behavior of Artificial Neural Network Classifiers in High-Dimensional Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 18 (5) (1996)
Yoshihiko Hamamoto, Yasushi Fujimoto, Shingo Tomita
On the estimation of a covariance matrix in designing Parzen classifiers. Pattern Recognit. 29 (10) (1996)
Yoshihiko Hamamoto, Y. Tsuneta, C. Kaneyama, Shingo Tomita
Selection of Representatives Using Genetic Algorithms. IEA/AIE (1996)
Yoshihiko Hamamoto, Toshinori Hase, Yoshihiro Mitani, Shingo Tomita
A Note on the Generalization Error in Neural Networks. IEA/AIE (1996)
Yoshihiko Hamamoto, Shunji Uchimura, Masanori Watanabe, Tetsuya Yasuda, Shingo Tomita
Recognition of handwritten numerals using Gabor features. ICPR (1996)
Yoshihiro Mitani, Yoshihiko Hamamoto, Shingo Tomita
Evaluation of the Noise Injection in High Dimensions. MVA (1996)
Yoshihiro Mitani, Yoshihiko Hamamoto, Shingo Tomita
Use of bootstrap samples in designing artificial neural network classifiers. ICNN (1995)
Shunji Uchimura, Yoshihiko Hamamoto, Shingo Tomita
On the effect of the nonlinearity of the sigmoid function in artificial neural network classifiers. ICNN (1995)
Yoshihiko Hamamoto, Shunji Uchimura, K. Masamizu, Shingo Tomita
Recognition of handprinted Chinese characters using Gabor features. ICDAR (1995)
Shunji Uchimura, Yoshihiko Hamamoto, Shingo Tomita
Effects of the sample size in artificial neural network classifier design. ICNN (1995)
Kazukuni Kobara, Taiho Kanaoka, Yoshihiko Hamamoto, Shingo Tomita, Koukichi Munechika
Use of Gradated Patterns in An Associative Neural Memory for Invariant Pattern Recognition. Int. J. Pattern Recognit. Artif. Intell. 8 (2) (1994)
Manabu Takano, Taiho Kanaoka, Josef Skrzypek, Shingo Tomita
A note on a higher-order neural network for distortion invariant pattern recognition. Pattern Recognit. Lett. 15 (6) (1994)
Yoshihiko Hamamoto, Taiho Kanaoka, Shingo Tomita
On a theoretical comparison between the orthonormal discriminant vector method and discriminant analysis. Pattern Recognit. 26 (12) (1993)
Kiyohiro Kobayashi, Tsuguyasu Imamura, Masashi Takahashi, Fumiko Kubota, Taiho Kanaoka, Yoshihiko Hamamoto, Shingo Tomita
A searching method of the most similar string in the file of a document retrieval system. Systems and Computers in Japan 23 (2) (1992)
Taiho Kanaoka, Rama Chellappa, Matsubuchi Yoshitaka, Shingo Tomita
A higher-order neural network for distortion invariant pattern recognition. Pattern Recognit. Lett. 13 (12) (1992)
Kazukuni Kobara, Taiho Kanaoka, Koukichi Munechika, Yoshihiko Hamamoto, Shingo Tomita
Use of Gradated Patterns in an Associative Neural Memory for Invariant Pattern Recognition. ICPIA (1992)
Yoshihiko Hamamoto, Akihiko Ohama, Taiho Kanaoka, Shingo Tomita
Orthogonal discriminant analysis based on a modified Fisher criterion [feature extraction]. ICPR (2) (1992)
Yoshihiko Hamamoto, Yutaka Matsuura, Taiho Kanaoka, Shingo Tomita
A note on the orthonormal discriminant vector method for feature extraction. Pattern Recognit. 24 (7) (1991)
Yoshihiko Hamamoto, Taiho Kanaoka, Shingo Tomita
Orthogonal discriminant analysis for interactive pattern analysis. ICPR (1) (1990)
Yoshihiko Hamamoto, Shunji Uchimura, Yutaka Matsuura, Taiho Kanaoka, Shingo Tomita
Evaluation of the branch and bound algorithm for feature selection. Pattern Recognit. Lett. 11 (7) (1990)
Toshiniko Okada, Shingo Tomita
An optimal orthonormal system for discriminant analysis. Pattern Recognit. 18 (2) (1985)
Taiho Kanaoka, Shingo Tomita
Homogeneous Decomposition of Stochastic Systems. Theor. Comput. Sci. 40 (1985)
Taiho Kanaoka, Shingo Tomita
The Decomposition of Stochastic Systems. Theor. Comput. Sci. 28 (1984)
Kenshiro Okamura, Taiho Kanaoka, Toshiniko Okada, Shingo Tomita
Learning behavior of variable-structure stochastic automata in a three-person zero-sum game. IEEE Trans. Syst. Man Cybern. 14 (6) (1984)
Taiho Kanaoka, Shingo Tomita
A Whirl decomposition of stochastic systems based on the substitution property. IEEE Trans. Syst. Man Cybern. 13 (6) (1983)
Shingo Tomita, Shoichi Noguchi
On the Classification of Patterns by the Karhunen-Loeve Orthogonal System Without Supervisor. IJCAI (1971)