Paper Abstract and Keywords |
Presentation |
2011-11-09 15:45
An Extension of Probabilistic PCA for Correlated Samples Kohei Hayashi (NAIST), Masanori Kawakita (Kyushu Univ), Kazushi Ikeda (NAIST) IBISML2011-50 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Principal component analysis (PCA) is one of dimensional reduction methods and has widely been used for feature extraction and data visualization. Probabilistic PCA (pPCA) is a probabilistic interpretation of PCA, which is represented as a generative model of a data matrix that extract correlation among dimensions while each data sample is assumed to be independent. In this paper, We extend pPCA to relax the independent assumption by explicitly parametrize the sample-wise covariances. In numerical experiments, we investigate the feasibility of our method by using synthetic and real data sets. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Dimensional reduction methods / principal component analysis (PCA) / probabilistic PCA / Bayesian probabilistic model / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 275, IBISML2011-50, pp. 57-60, Nov. 2011. |
Paper # |
IBISML2011-50 |
Date of Issue |
2011-11-02 (IBISML) |
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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IBISML2011-50 |
Conference Information |
Committee |
IBISML |
Conference Date |
2011-11-09 - 2011-11-11 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Nara Womens Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The 14th IBIS workshop |
Paper Information |
Registration To |
IBISML |
Conference Code |
2011-11-IBISML |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An Extension of Probabilistic PCA for Correlated Samples |
Sub Title (in English) |
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Keyword(1) |
Dimensional reduction methods |
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principal component analysis (PCA) |
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probabilistic PCA |
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Bayesian probabilistic model |
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1st Author's Name |
Kohei Hayashi |
1st Author's Affiliation |
Nara Institute of Science and Technology (NAIST) |
2nd Author's Name |
Masanori Kawakita |
2nd Author's Affiliation |
Kyushu University (Kyushu Univ) |
3rd Author's Name |
Kazushi Ikeda |
3rd Author's Affiliation |
Nara Institute of Science and Technology (NAIST) |
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Speaker |
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Date Time |
2011-11-09 15:45:00 |
Presentation Time |
180 minutes |
Registration for |
IBISML |
Paper # |
IBISML2011-50 |
Volume (vol) |
vol.111 |
Number (no) |
no.275 |
Page |
pp.57-60 |
#Pages |
4 |
Date of Issue |
2011-11-02 (IBISML) |
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