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| Presentation | 2014-01-29 14:00 Development of a Learning and Recognition SoC Based on the k Nearest-Neighbor Algorithm with High-Speed, Low-Power and Error-Free Operation Shogo Yamasaki, Toshinobu Akazawa, Fengwei An, Hans Juergen Mattausch (Hiroshima Univ)  ICD2013-136 Link to ES Tech. Rep. Archives: ICD2013-136 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we propose the hardware implementation of the k-nearest neighbor method on an SoC with learning and recognition capability. Using the results of the clock-counting type word-parallel Euclidean-distance search associative memory, an integrated digital implementation of the k-nearest neighbor algorithm with high-speed, low-power processing was realized which was not possible previously. By saving the class information of all reference data in an SRAM, flexible search becomes possible for a variety of situations with no restriction of the number of classes for the reference data. The chip design, using 180nm CMOS technology, extended the word-parallel high-speed nearest neighbor search of the associative memory to the more versatile k-nearest neighbor recognition algorithm. In comparison to the 25mm2 area of the entire SoC, the extension circuit to the k-nearest neighbor algorithm was realized with a small area consumption of only 0.445mm2. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | associative memory / Euclidean distance / k-NN / pattern matching / pattern recognition / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 419, ICD2013-136, pp. 85-88, Jan. 2014. | |
| Paper # | ICD2013-136 | |
| Date of Issue | 2014-01-21 (ICD) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | ICD2013-136 Link to ES Tech. Rep. Archives: ICD2013-136 |
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| Conference Information | |
| Committee | ICD |
| Conference Date | 2014-01-28 - 2014-01-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Univ. Tokeidai Kinenkan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | ICD |
| Conference Code | 2014-01-ICD |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development of a Learning and Recognition SoC Based on the k Nearest-Neighbor Algorithm with High-Speed, Low-Power and Error-Free Operation |
| Sub Title (in English) | |
| Keyword(1) | associative memory |
| Keyword(2) | Euclidean distance |
| Keyword(3) | k-NN |
| Keyword(4) | pattern matching |
| Keyword(5) | pattern recognition |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shogo Yamasaki |
| 1st Author's Affiliation | Hiroshima University (Hiroshima Univ) |
| 2nd Author's Name | Toshinobu Akazawa |
| 2nd Author's Affiliation | Hiroshima University (Hiroshima Univ) |
| 3rd Author's Name | Fengwei An |
| 3rd Author's Affiliation | Hiroshima University (Hiroshima Univ) |
| 4th Author's Name | Hans Juergen Mattausch |
| 4th Author's Affiliation | Hiroshima University (Hiroshima Univ) |
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| Speaker | Author-1 |
| Date Time | 2014-01-29 14:00:00 |
| Presentation Time | 25 minutes |
| Registration for | ICD |
| Paper # | ICD2013-136 |
| Volume (vol) | vol.113 |
| Number (no) | no.419 |
| Page | pp.85-88 |
| #Pages | 4 |
| Date of Issue | 2014-01-21 (ICD) |
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