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| Presentation | 2015-03-06 16:40 An Algorithm to Reduce Components of a Gaussian Mixture Model Considering Distribution Shape of Each Component Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.)  CPSY2014-170 DC2014-96 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In statistical methods, such as statistical static timing analysis (S-STA) algorithm, summation and minimum or maximum operation for non-Gaussian distributions are repeated. Gaussian mixture model (GMM) is a useful tool for representing a non-Gaussian distribution generated by minimum or maximum operation for Gaussian distributions, and can treat correlation easily. However, in order to repeat operations for GMMs efficiently, the number of components must be restricted around two. Previous methods for S-STA used a GMM with two components (2-GMM), and a GMM with eight components (8-GMM) is generated by single operation of minimum or maximum for 2-GMMs. Hence, the previous methods approximate a generated 8-GMM by a 2-GMM, but in a certain cases, they cannot generate appropriate 2-GMMs. In this paper, we propose a new approximation method to reduce the number of components of GMM, which uses a distance between distribution shapes of components. Moreover, we show some results of performance evaluation, which demonstrate the effectiveness of the proposed method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Gaussian mixture model / reduction of components / distance between distributions / statistical method / statistical static timing analysis / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 506, CPSY2014-170, pp. 49-54, March 2015. | |
| Paper # | CPSY2014-170 | |
| Date of Issue | 2015-02-27 (CPSY, DC) | |
| 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 | CPSY2014-170 DC2014-96 |
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| Conference Information | |
| Committee | CPSY IPSJ-EMB IPSJ-SLDM DC |
| Conference Date | 2015-03-06 - 2015-03-07 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | CPSY |
| Conference Code | 2015-03-CPSY-EMB-SLDM-DC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Algorithm to Reduce Components of a Gaussian Mixture Model Considering Distribution Shape of Each Component |
| Sub Title (in English) | |
| Keyword(1) | Gaussian mixture model |
| Keyword(2) | reduction of components |
| Keyword(3) | distance between distributions |
| Keyword(4) | statistical method |
| Keyword(5) | statistical static timing analysis |
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| Keyword(7) | |
| Keyword(8) | |
| 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 | 2015-03-06 16:40:00 |
| Presentation Time | 25 minutes |
| Registration for | CPSY |
| Paper # | CPSY2014-170, DC2014-96 |
| Volume (vol) | vol.114 |
| Number (no) | no.506(CPSY), no.507(DC) |
| Page | pp.49-54 |
| #Pages | 6 |
| Date of Issue | 2015-02-27 (CPSY, DC) |
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