Presentation | 2006-01-24 An Information-Based Approach to Phase Retrieval Hiroyuki SHIOYA, Kouta KAWAHARA, Kazutoshi GOHARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Phase retrieval is to recover the Fourier phase information using intensity measurements, which are made by the diffraction from unknown target object. The object function is estimated by recovering the phase information in the Fourier-domain. This is said to be an optimization problem. Phase retrieval has been used in various scientific fields widely, astronomy, crystallography and so on. In this article, we review phase retrieval problems including some related results and mention about the representation of phase retrieval and Then we introduce an ensemble-type architecture to phase retrieval as an information-based approach, and the effectiveness of our method is shown. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Phase retrieval / information-based learning / ensemble learning |
Paper # | NC2005-101 |
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Committee | NC |
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Conference Date | 2006/1/17(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | An Information-Based Approach to Phase Retrieval |
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Keyword(1) | Phase retrieval |
Keyword(2) | information-based learning |
Keyword(3) | ensemble learning |
1st Author's Name | Hiroyuki SHIOYA |
1st Author's Affiliation | Faculty of Engineering, Muroran Institute of Technology() |
2nd Author's Name | Kouta KAWAHARA |
2nd Author's Affiliation | Dep. of Information Engineering, Graduate School of of Engineering, Muroran Institute of Technology |
3rd Author's Name | Kazutoshi GOHARA |
3rd Author's Affiliation | Dep. of Applied Physics, Graduate School of Engineering, Hokkaido Univ. |
Date | 2006-01-24 |
Paper # | NC2005-101 |
Volume (vol) | vol.105 |
Number (no) | 544 |
Page | pp.pp.- |
#Pages | 6 |
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