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| Presentation | 2016-03-02 13:00 An Algorithm for Reducing Components of a Gaussian Mixture Model 1 -- A Partitioning Method of Components -- Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.)  VLD2015-138 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful tool for representing a non-Gaussian distribution. In order to repeat summation, maximum, and/or minimum operations for GMMs efficiently, the number of components should be restricted around two. We have proposed two methods for S-STA to reduce the number of components to two, but we cannot determine which method is better than the other, since both have merits and demerits. In this paper, we propose a new method to reduce the number of components of GMM, which selects one from among plural methods with the use of information such as the distribution shape of a given GMM and the normalized integral square error. Then, we show performance evaluations of these proposed methods. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Gaussian mixture model / reduction of components / statistical method / statistical static timing analysis / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 465, VLD2015-138, pp. 155-160, Feb. 2016. | |
| Paper # | VLD2015-138 | |
| Date of Issue | 2016-02-22 (VLD) | |
| 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 | VLD2015-138 |
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| Conference Information | |
| Committee | VLD |
| Conference Date | 2016-02-29 - 2016-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Seinen Kaikan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | VLD |
| Conference Code | 2016-02-VLD |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Algorithm for Reducing Components of a Gaussian Mixture Model 1 |
| Sub Title (in English) | A Partitioning Method of Components |
| Keyword(1) | Gaussian mixture model |
| Keyword(2) | reduction of components |
| Keyword(3) | statistical method |
| Keyword(4) | statistical static timing analysis |
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| 1st Author's Name | Naoya Yokoyama |
| 1st Author's Affiliation | Chuo University (Chuo Univ.) |
| 2nd Author's Name | Shuji Tsukiyama |
| 2nd Author's Affiliation | Chuo University (Chuo Univ.) |
| 3rd Author's Name | Masahiro Fukui |
| 3rd Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
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| Speaker | Author-1 |
| Date Time | 2016-03-02 13:00:00 |
| Presentation Time | 25 minutes |
| Registration for | VLD |
| Paper # | VLD2015-138 |
| Volume (vol) | vol.115 |
| Number (no) | no.465 |
| Page | pp.155-160 |
| #Pages | 6 |
| Date of Issue | 2016-02-22 (VLD) |
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