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| 2007 | ||
|---|---|---|
| 7 | EE | Akira Hirabayashi, Laurent Condat: A Compact Image Magnification Method with Preservation of Preferential Components. ICIP (5) 2007: 385-388 |
| 6 | EE | Akira Hirabayashi, Michael Unser: Consistent Sampling and Signal Recovery. IEEE Transactions on Signal Processing 55(8): 4104-4115 (2007) |
| 5 | EE | Akira Hirabayashi: Image Magnification by a Compact Method with Preservation of Preferential Components. IEICE Transactions 90-A(8): 1534-1541 (2007) |
| 2006 | ||
| 4 | EE | Akira Hirabayashi, Takeshi Naito: Signal Reconstruction by Projection Filter with Preservation of Preferential Components. KES (3) 2006: 1272-1279 |
| 2002 | ||
| 3 | EE | Hidekazu Iwaki, Hidemitsu Ogawa, Akira Hirabayashi: Optimally generalizing neural networks with the ability to recover from single stuck-at r faults. Systems and Computers in Japan 33(7): 114-123 (2002) |
| 2001 | ||
| 2 | EE | Akiko Nakashima, Akira Hirabayashi, Hidemitsu Ogawa: Error correcting memorization learning for noisy training examples. Neural Networks 14(1): 79-92 (2001) |
| 1 | EE | Akira Hirabayashi, Hidemitsu Ogawa: A family of projection learnings. Systems and Computers in Japan 32(5): 21-35 (2001) |
| 1 | Laurent Condat | [7] |
| 2 | Hidekazu Iwaki | [3] |
| 3 | Takeshi Naito | [4] |
| 4 | Akiko Nakashima | [2] |
| 5 | Hidemitsu Ogawa | [1] [2] [3] |
| 6 | Michael Unser | [6] |