Paper Abstract and Keywords |
Presentation |
2008-12-19 09:30
Why directional features work well?
-- Apploaches through abstract figures -- Hitoshi Sakano, Takeshi Yamada (NTT) PRMU2008-171 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
For answering above question,
we are approached an image reconstruction method from feature vectors.
We try to clarify algebraic structure of directional feature space.
We obtain new hypothesis ``directional feature space has linear structure
and a root of effectiveness is such linear structure.''
Unfortunately, the hypothesis includes logical inconsistency and luck of enough experimental evidence.
In this paper we investigate reconstructed image behaviors there are results of mathematical operation on the feature space.
As a result we obtain novel hypothesis ``linear structure is limited in neighbor in feature space.''
\end{eabstract}
\begin{ekeyword}
Feature extraction, Directional feature, Character recognition, algebraic structure |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Feature extraction / Directional feature / Character recognition / algebraic structure / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 363, PRMU2008-171, pp. 141-146, Dec. 2008. |
Paper # |
PRMU2008-171 |
Date of Issue |
2008-12-11 (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) |
Download PDF |
PRMU2008-171 |
Conference Information |
Committee |
PRMU |
Conference Date |
2008-12-18 - 2008-12-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kumamoto Univ. |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2008-12-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Why directional features work well? |
Sub Title (in English) |
Apploaches through abstract figures |
Keyword(1) |
Feature extraction |
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Directional feature |
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Character recognition |
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algebraic structure |
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1st Author's Name |
Hitoshi Sakano |
1st Author's Affiliation |
Nippon Telegram and Telephone (NTT) |
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Takeshi Yamada |
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Nippon Telegram and Telephone (NTT) |
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Speaker |
Author-1 |
Date Time |
2008-12-19 09:30:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2008-171 |
Volume (vol) |
vol.108 |
Number (no) |
no.363 |
Page |
pp.141-146 |
#Pages |
6 |
Date of Issue |
2008-12-11 (PRMU) |
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