Presentation | 1997/3/17 Learning and Recognition of Translated, Rotated and Scaled Patterns by Multilayer Nets Hiromu GOTANDA, Kousaku KAWAI, Tatsuya YAMAOKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This report describes a scheme for learning and recognizing translated, rotated and scaled patterns by multilayer nets to which inputs are given by meshed patterns (feature vectors) extracted using well-known geometrical characteristics (center of gravity, angle of principal axis, variance). It also describes detection of the rotated angle and the scaling factor of target patterns to their template based on the characteristics. Experiments show that small nets can learn the patterns faster and classify them at high recognition rate, and that the rotated angle and the scaling factor can be detected at high accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | multilayer nets / BP learning / pattern recognition / translation / rotation / scaling |
Paper # | NC96-148 |
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Committee | NC |
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Conference Date | 1997/3/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (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) | Learning and Recognition of Translated, Rotated and Scaled Patterns by Multilayer Nets |
Sub Title (in English) | |
Keyword(1) | multilayer nets |
Keyword(2) | BP learning |
Keyword(3) | pattern recognition |
Keyword(4) | translation |
Keyword(5) | rotation |
Keyword(6) | scaling |
1st Author's Name | Hiromu GOTANDA |
1st Author's Affiliation | Kinki University in Kyushu, Faculty of Engineering() |
2nd Author's Name | Kousaku KAWAI |
2nd Author's Affiliation | Kinki University, Graduate School of Advanced Technology |
3rd Author's Name | Tatsuya YAMAOKA |
3rd Author's Affiliation | Kinki University, Graduate School of Advanced Technology |
Date | 1997/3/17 |
Paper # | NC96-148 |
Volume (vol) | vol.96 |
Number (no) | 583 |
Page | pp.pp.- |
#Pages | 8 |
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