Paper Abstract and Keywords |
Presentation |
2009-02-20 09:30
Document Classification by Local Fisher Discriminant Analysis Masashi Sugiyama (Tokyo Inst. of Tech.) PRMU2008-225 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Dimensionality reduction is one of the important preprocessing steps
in practical pattern recognition.
SEmi-supervised Local Fisher discriminant analysis (SELF)---which
is a semi-supervised and local extension of Fisher discriminant analysis---was
shown to work excellently in experiments.
However, when data dimensionality is very high,
a naive use of SELF is prohibited
due to high computational costs and large memory requirement.
In this paper, we introduce computational tricks
for making SELF applicable to large-scale problems. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
dimensionality reduction / semi-supervised learning / semi-supervised local Fisher discriminant analysis / sparsity / generalized eigenvalue problem / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 432, PRMU2008-225, pp. 103-108, Feb. 2009. |
Paper # |
PRMU2008-225 |
Date of Issue |
2009-02-12 (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) |
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PRMU2008-225 |
Conference Information |
Committee |
PRMU |
Conference Date |
2009-02-19 - 2009-02-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Univ. of Tokyo (IIS) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2009-02-PRMU |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Document Classification by Local Fisher Discriminant Analysis |
Sub Title (in English) |
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Keyword(1) |
dimensionality reduction |
Keyword(2) |
semi-supervised learning |
Keyword(3) |
semi-supervised local Fisher discriminant analysis |
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sparsity |
Keyword(5) |
generalized eigenvalue problem |
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1st Author's Name |
Masashi Sugiyama |
1st Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2009-02-20 09:30:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2008-225 |
Volume (vol) |
vol.108 |
Number (no) |
no.432 |
Page |
pp.103-108 |
#Pages |
6 |
Date of Issue |
2009-02-12 (PRMU) |