Presentation | 1993/12/14 Improved Vector Quantization and Its Application to Character Recognition Atsushi Satou, Jun Tsukumo, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report,the criterion of training reference vectors is formulalted on the analogy of the back propagation algorithm for multi layer perceptron(MLP),which decreases the error rate for samples dose to dedsion boundaries.We present improved vector quantization method based on the aboveidea,and decsion boundaries by this method are discussed compared with LVQ2.Experimental resultes for printed Japanese Hiragana characters recognition reveal that the proposed method is superior to LVQ2 and MLP. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Neural Network / Learning Vector Quantization / Template Matching / Character Recognition / Pattern Recognition |
Paper # | NC93-60 |
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Conference Information | |
Committee | NC |
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Conference Date | 1993/12/14(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 | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Improved Vector Quantization and Its Application to Character Recognition |
Sub Title (in English) | |
Keyword(1) | Neural Network |
Keyword(2) | Learning Vector Quantization |
Keyword(3) | Template Matching |
Keyword(4) | Character Recognition |
Keyword(5) | Pattern Recognition |
1st Author's Name | Atsushi Satou |
1st Author's Affiliation | Information Technology Research Laboratories,NEC() |
2nd Author's Name | Jun Tsukumo |
2nd Author's Affiliation | Information Technology Research Laboratories,NEC |
Date | 1993/12/14 |
Paper # | NC93-60 |
Volume (vol) | vol.93 |
Number (no) | 376 |
Page | pp.pp.- |
#Pages | 9 |
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