Presentation | 1993/6/18 Shape recognition using adaptive VQ and neural networks Masaji Katagiri, Masakazu Nagura, Hiroyuki Arai, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Artificial neural networks and adaptive vector quantization are applied to the shape recognition problem for closed polylines.Here polylines consist of not only straight lines but curvs. Curvature is employed to capture figures.This method makes possible to recognize, classify figures without embedding domain specific algorithms.Neural networks provide learning facility.As preprocessing of the neural networks,curvs are quantized adaptively.The quantized data and scale factors are given to the neural networks.The system can recognize figures irrelevantly to position,rotation and scaling.Some experimental results are shown. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | recognition / artificial neural networks / adaptive vector quantization / learning / classification |
Paper # | PRU93-19 |
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Conference Information | |
Committee | PRU |
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Conference Date | 1993/6/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Understanding (PRU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Shape recognition using adaptive VQ and neural networks |
Sub Title (in English) | |
Keyword(1) | recognition |
Keyword(2) | artificial neural networks |
Keyword(3) | adaptive vector quantization |
Keyword(4) | learning |
Keyword(5) | classification |
1st Author's Name | Masaji Katagiri |
1st Author's Affiliation | NTT Human Interface Laboratories() |
2nd Author's Name | Masakazu Nagura |
2nd Author's Affiliation | NTT Human Interface Laboratories |
3rd Author's Name | Hiroyuki Arai |
3rd Author's Affiliation | NTT Human Interface Laboratories |
Date | 1993/6/18 |
Paper # | PRU93-19 |
Volume (vol) | vol.93 |
Number (no) | 100 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |