Shingo Tomita

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