| 1994 |
|---|
| 9 | | 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) |
| 8 | 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 |
|---|
| 7 | 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 |
|---|
| 6 | | 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 |
| 5 | 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 |
|---|
| 4 | 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 |
|---|
| 3 | 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 |
|---|
| 2 | | Taiho Kanaoka,
Shingo Tomita:
Homogeneous Decomposition of Stochastic Systems.
Theor. Comput. Sci. 40: 245-255 (1985) |
| 1984 |
|---|
| 1 | | Taiho Kanaoka,
Shingo Tomita:
The Decomposition of Stochastic Systems.
Theor. Comput. Sci. 28: 223-233 (1984) |
