| Presentation | 2005-03-17 Pattern Recognition with Higher-Order Neural Network Takeshi KAITA, Hideo KITAJIMA, Miki HASEYAMA, Shingo TOMITA, Junkichi YAMANAKA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, systems to recognize patterns expressed by binary point distributions are proposed. The feature extractor transforms a pattern into a new feature vector that expresses the structure of distribution by relative location of two points and relative distance between them. The feature vector is shift, rotation and scale invariant. The extractor is second order and its amount of calculation is little. The extractor also corrects deformation and distortion of a training pattern at transforming into a feature vector. Thus, the classifier learns also unknown distorted and deformed patterns of a training pattern with only one feature vector. Training period is short and recognition accuracy is high. The classifier is a third-order and two-layer neural network. General purpose of these systems are shown experimentally by hand-written character recognition and distribution identification. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Feature Extraction / Higher-Order Neural Network / Dynamic Coalescence Model / Character Recognition / Distribution Identification |
| Paper # | TL2004-45,PRMU2004-213 |
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| Conference Information | |
| Committee | TL |
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| Conference Date | 2005/3/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Thought and Language (TL) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Pattern Recognition with Higher-Order Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Feature Extraction |
| Keyword(2) | Higher-Order Neural Network |
| Keyword(3) | Dynamic Coalescence Model |
| Keyword(4) | Character Recognition |
| Keyword(5) | Distribution Identification |
| 1st Author's Name | Takeshi KAITA |
| 1st Author's Affiliation | Information Science and Technology Department, Oshima National College of Maritime Technology:School of Engineering, Hokkaido University() |
| 2nd Author's Name | Hideo KITAJIMA |
| 2nd Author's Affiliation | School of Engineering, Hokkaido University |
| 3rd Author's Name | Miki HASEYAMA |
| 3rd Author's Affiliation | School of Engineering, Hokkaido University |
| 4th Author's Name | Shingo TOMITA |
| 4th Author's Affiliation | Faculty of Music & Mediaarts Department of Humanitic Information, Shobi University |
| 5th Author's Name | Junkichi YAMANAKA |
| 5th Author's Affiliation | Information Science and Technology Department, Oshima National College of Maritime Technology |
| Date | 2005-03-17 |
| Paper # | TL2004-45,PRMU2004-213 |
| Volume (vol) | vol.104 |
| Number (no) | 739 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |