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| Presentation | 2019-03-18 14:30 Dynamic Product Quantization for Large Scale Vector Matching Masaki Kondo, Kunio Osada (Toshiba Digital Solutions)  BioX2018-58 PRMU2018-162 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Finding nearest neighbor vectors is one of the fundamental issues in pattern recognition. Since large-scale data is widely used in pattern recognition nowadays, approximate search based on compression of feature vector without large decline of the recall rate is of great interest. In this paper, we propose Dynamic Product Quantization (DPQ) - an improved version of Product Quantization (PQ). We compare PQ and DPQ in point of vector size and the decline of accuracy with large-scale data sets. Experimental results show superiority of DPQ over PQ. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Large Scale Vector Matching / Product Quantization / K-means / Vector Size Compression / Dynamic Dimension / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 513, PRMU2018-162, pp. 169-174, March 2019. | |
| Paper # | PRMU2018-162 | |
| Date of Issue | 2019-03-10 (BioX, PRMU) | |
| 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 | BioX2018-58 PRMU2018-162 |
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| Conference Information | |
| Committee | PRMU BioX |
| Conference Date | 2019-03-17 - 2019-03-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2019-03-PRMU-BioX |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Dynamic Product Quantization for Large Scale Vector Matching |
| Sub Title (in English) | |
| Keyword(1) | Large Scale Vector Matching |
| Keyword(2) | Product Quantization |
| Keyword(3) | K-means |
| Keyword(4) | Vector Size Compression |
| Keyword(5) | Dynamic Dimension |
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| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Masaki Kondo |
| 1st Author's Affiliation | Toshiba Digital Solutions Corporation (Toshiba Digital Solutions) |
| 2nd Author's Name | Kunio Osada |
| 2nd Author's Affiliation | Toshiba Digital Solutions Corporation (Toshiba Digital Solutions) |
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| Speaker | Author-1 |
| Date Time | 2019-03-18 14:30:00 |
| Presentation Time | 15 minutes |
| Registration for | PRMU |
| Paper # | BioX2018-58, PRMU2018-162 |
| Volume (vol) | vol.118 |
| Number (no) | no.512(BioX), no.513(PRMU) |
| Page | pp.169-174 |
| #Pages | 6 |
| Date of Issue | 2019-03-10 (BioX, PRMU) |
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