| Presentation | 2007-01-25 A Study of the Use of Ensemble Method for Phase Retrieval Yousuke MAEHARA, Kota KAWAHARA, Hiroyuki SHIOYA, Kazutoshi GOHARA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | An iterative Fourier algorithm has been used for phase retrieval, and relates to the steepest descent method. In machine learning based on the steepest descent method, the framework of ensemble learning using multiple trained predictors is effective to improve generalization performance. In this paper, we apply ensemble learning algorithms to the phase retrieval problem, and investigate the effectiveness of our proposed method with some numerical simulations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Phase Retrieval / Ensemble Learning |
| Paper # | NC2006-90 |
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| Committee | NC |
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| Conference Date | 2007/1/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of the Use of Ensemble Method for Phase Retrieval |
| Sub Title (in English) | |
| Keyword(1) | Phase Retrieval |
| Keyword(2) | Ensemble Learning |
| 1st Author's Name | Yousuke MAEHARA |
| 1st Author's Affiliation | Division of Production and Information Systems Engineering, Graduate School of Muroran Institute of Technology() |
| 2nd Author's Name | Kota KAWAHARA |
| 2nd Author's Affiliation | Division of Applied Physics, Graduate School of Engineering, Hokkaido University |
| 3rd Author's Name | Hiroyuki SHIOYA |
| 3rd Author's Affiliation | Depatment of Computer Science and Systems Engineering, Muroran Institute of Technology |
| 4th Author's Name | Kazutoshi GOHARA |
| 4th Author's Affiliation | Division of Applied Physics, Graduate School of Engineering, Hokkaido University |
| Date | 2007-01-25 |
| Paper # | NC2006-90 |
| Volume (vol) | vol.106 |
| Number (no) | 500 |
| Page | pp.pp.- |
| #Pages | 5 |
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