2002 |
20 | EE | Takeshi Kaita,
Shingo Tomita,
Junkichi Yamanaka:
On a higher-order neural network for distortion invariant pattern recognition.
Pattern Recognition Letters 23(8): 977-984 (2002) |
1998 |
19 | | Shunji Uchimura,
Kiyoshi Mizuno,
Yoshihiko Hamamoto,
Shingo Tomita:
Analysis of Gabor Parameters for Handwritten Numeral Recognition by Experimental Design.
SSPR/SPR 1998: 968-974 |
18 | EE | Yoshihiko Hamamoto,
Shunji Uchimura,
Masanori Watanabe,
Tetsuya Yasuda,
Yoshihiro Mitani,
Shingo Tomita:
A gabor filter-based method for recognizing handwritten numerals.
Pattern Recognition 31(4): 395-400 (1998) |
1997 |
17 | EE | Masanori Watanabe,
Yoshihiko Hamamoto,
Tetsuya Yasuda,
Shingo Tomita:
Normalization Techniques of Handwritten Numerals for Gabor Filters.
ICDAR 1997: 303- |
16 | EE | Yoshihiko Hamamoto,
Shunji Uchimura,
Shingo Tomita:
A Bootstrap Technique for Nearest Neighbor Classifier Design.
IEEE Trans. Pattern Anal. Mach. Intell. 19(1): 73-79 (1997) |
1996 |
15 | EE | Yoshihiro Mitani,
Yoshihiko Hamamoto,
Shingo Tomita:
Evaluation of the Noise Injection in High Dimensions.
MVA 1996: 107-110 |
14 | EE | 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): 571-574 (1996) |
13 | EE | Yoshihiko Hamamoto,
Yasushi Fujimoto,
Shingo Tomita:
On the estimation of a covariance matrix in designing Parzen classifiers.
Pattern Recognition 29(10): 1751-1759 (1996) |
1995 |
12 | EE | Yoshihiko Hamamoto,
Shunji Uchimura,
K. Masamizu,
Shingo Tomita:
Recognition of handprinted Chinese characters using Gabor features.
ICDAR 1995: 819-823 |
1994 |
11 | | Kazukuni Kobara,
Taiho Kanaoka,
Yoshihiko Hamamoto,
Shingo Tomita,
Koukichi Munechika:
Use of Gradated Patterns in An Associative Neural Memory for Invariant Pattern Recognition.
IJPRAI 8(2): 595-607 (1994) |
10 | EE | Manabu Takano,
Taiho Kanaoka,
Josef Skrzypek,
Shingo Tomita:
A note on a higher-order neural network for distortion invariant pattern recognition.
Pattern Recognition Letters 15(6): 631-635 (1994) |
1993 |
9 | EE | Yoshihiko Hamamoto,
Taiho Kanaoka,
Shingo Tomita:
On a theoretical comparison between the orthonormal discriminant vector method and discriminant analysis.
Pattern Recognition 26(12): 1863-1867 (1993) |
1992 |
8 | | 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: 179-194 |
7 | EE | Taiho Kanaoka,
Rama Chellappa,
Matsubuchi Yoshitaka,
Shingo Tomita:
A higher-order neural network for distortion invariant pattern recognition.
Pattern Recognition Letters 13(12): 837-841 (1992) |
1991 |
6 | EE | Yoshihiko Hamamoto,
Yutaka Matsuura,
Taiho Kanaoka,
Shingo Tomita:
A note on the orthonormal discriminant vector method for feature extraction.
Pattern Recognition 24(7): 681-684 (1991) |
1990 |
5 | EE | Yoshihiko Hamamoto,
Shunji Uchimura,
Yutaka Matsuura,
Taiho Kanaoka,
Shingo Tomita:
Evaluation of the branch and bound algorithm for feature selection.
Pattern Recognition Letters 11(7): 453-456 (1990) |
1985 |
4 | EE | Toshiniko Okada,
Shingo Tomita:
An optimal orthonormal system for discriminant analysis.
Pattern Recognition 18(2): 139-144 (1985) |
3 | | Taiho Kanaoka,
Shingo Tomita:
Homogeneous Decomposition of Stochastic Systems.
Theor. Comput. Sci. 40: 245-255 (1985) |
1984 |
2 | | Taiho Kanaoka,
Shingo Tomita:
The Decomposition of Stochastic Systems.
Theor. Comput. Sci. 28: 223-233 (1984) |
1971 |
1 | | Shingo Tomita,
Shoichi Noguchi:
On the Classification of Patterns by the Karhunen-Loeve Orthogonal System Without Supervisor.
IJCAI 1971: 424-428 |