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Paper Abstract and Keywords
Presentation 2017-09-08 14:50
On Two Part Coding of Gaussian Mixture Models
Kohei Miyamoto, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) IT2017-47
Abstract (in Japanese) (See Japanese page) 
(in English) The final goal of this work is model sellection for gaussian mixture
models(GMM) based on the minimum description
length(MDL) principle. In this paper, we discuss some issues about a
two part coding for GMM for this purpose. First
we consider mixture models which have known distributions as their
components. We introduce a two part codes
for that mixture models and derive a risk bound for typical sequences
and a probabilistic loss bound when the R'enyi
divergence is used as a loss function. Next we examine their Fisher
information. its determinant and Jeffrey's prior
which is related to the restriction on parameters. These works will be
useful when we consider a two part coding of
GMM itself.
Keyword (in Japanese) (See Japanese page) 
(in English) Gaussian mixture models / two part coding / MDL principle / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 208, IT2017-47, pp. 49-54, Sept. 2017.
Paper # IT2017-47 
Date of Issue 2017-09-01 (IT) 
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)
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Conference Information
Committee IT  
Conference Date 2017-09-08 - 2017-09-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Centcore Yamaguchi Hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English) error correcting codes, general 
Paper Information
Registration To IT 
Conference Code 2017-09-IT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On Two Part Coding of Gaussian Mixture Models 
Sub Title (in English)  
Keyword(1) Gaussian mixture models  
Keyword(2) two part coding  
Keyword(3) MDL principle  
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1st Author's Name Kohei Miyamoto  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Masanori Kawakita  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Jun'ichi Takeuchi  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2017-09-08 14:50:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2017-47 
Volume (vol) vol.117 
Number (no) no.208 
Page pp.49-54 
#Pages
Date of Issue 2017-09-01 (IT) 


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