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| Presentation | 2011-03-07 11:05 Design Method for Visual Processing Algorithm Using Multi-Neuron Activity Data Hiroki Kurashige (RIKEN), Takashi Owaki, Hiroyuki Hoshino (Toyota Central R&D Labs, Inc.), Hideyuki Cateau (RIKEN)  NC2010-129 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose the method to develop a brain-like visual processing system using quantitative multi-neuron data and examine the whether the method works to do it by simulation data from artificial neural network as pseudo-brain. At the method, we try to extract the image feature represented well by activity of pseudo-brain with kernel canonical correlation analysis. The extracted features are probably effective to visual processing because they are utilized by high performance ‘brain’. Therefore, we identify the subspace spanned by such features and describe the similarity in the subspace as kernel called NC kernel. SVM inheriting the brain’s knowledge with the NC kernel can correctly discriminate test data which were not used for training and which SVM with Gaussian kernel never discriminate correctly. To identify the NC kernel, the data directly relating the problem that SVM should solve is not required. Then we argue that natural images are suitable for identification of the NC kernel in real situation. Finally, we discuss the merits achieved through proposed method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | brain-like visual processing systems / kernel canonical correlation analysis / multi-neuron activity data / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 461, NC2010-129, pp. 13-18, March 2011. | |
| Paper # | NC2010-129 | |
| Date of Issue | 2011-02-28 (NC) | |
| 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 | NC2010-129 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2011-03-07 - 2011-03-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tamagawa University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2011-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Design Method for Visual Processing Algorithm Using Multi-Neuron Activity Data |
| Sub Title (in English) | |
| Keyword(1) | brain-like visual processing systems |
| Keyword(2) | kernel canonical correlation analysis |
| Keyword(3) | multi-neuron activity data |
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| 1st Author's Name | Hiroki Kurashige |
| 1st Author's Affiliation | RIKEN (RIKEN) |
| 2nd Author's Name | Takashi Owaki |
| 2nd Author's Affiliation | Toyota Central R&D Labs, Inc. (Toyota Central R&D Labs, Inc.) |
| 3rd Author's Name | Hiroyuki Hoshino |
| 3rd Author's Affiliation | Toyota Central R&D Labs, Inc. (Toyota Central R&D Labs, Inc.) |
| 4th Author's Name | Hideyuki Cateau |
| 4th Author's Affiliation | RIKEN (RIKEN) |
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| Speaker | Author-1 |
| Date Time | 2011-03-07 11:05:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2010-129 |
| Volume (vol) | vol.110 |
| Number (no) | no.461 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2011-02-28 (NC) |
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