Paper Abstract and Keywords |
Presentation |
2017-10-12 09:30
Accelerating Convolutional Neural Networks Using Low-Rank Tensor Decomposition Kazuki Osawa, Akira Sekiya, Hiroki Naganuma, Rio Yokota (Tokyo Inst. of Tech.) PRMU2017-63 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In the image recognition using convolution neural networks (CNN), convolution operations occupies the majority of the computation time. In order to cope with this problem, methods which compress the dense tensors in convolution layers using low-rank approximation have been proposed to reduce the amount of computation, but these studies have not revealed the trade-off between the computational complexity reduced by low-rank approximation and the image recognition accuracy. In this research, we investigated the trade-off between the image recognition accuracy and speed-up rate for the method proposed by Peisong Wang et al. on GPU. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
image recognition / convolutional neural networks / low-rank approximation / tensor decomposition / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 238, PRMU2017-63, pp. 1-6, Oct. 2017. |
Paper # |
PRMU2017-63 |
Date of Issue |
2017-10-05 (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 |
PRMU2017-63 |
Conference Information |
Committee |
PRMU |
Conference Date |
2017-10-12 - 2017-10-13 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
|
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
|
Paper Information |
Registration To |
PRMU |
Conference Code |
2017-10-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Accelerating Convolutional Neural Networks Using Low-Rank Tensor Decomposition |
Sub Title (in English) |
|
Keyword(1) |
image recognition |
Keyword(2) |
convolutional neural networks |
Keyword(3) |
low-rank approximation |
Keyword(4) |
tensor decomposition |
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Kazuki Osawa |
1st Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
2nd Author's Name |
Akira Sekiya |
2nd Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
3rd Author's Name |
Hiroki Naganuma |
3rd Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
4th Author's Name |
Rio Yokota |
4th Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
5th Author's Name |
|
5th Author's Affiliation |
() |
6th Author's Name |
|
6th Author's Affiliation |
() |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2017-10-12 09:30:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2017-63 |
Volume (vol) |
vol.117 |
Number (no) |
no.238 |
Page |
pp.1-6 |
#Pages |
6 |
Date of Issue |
2017-10-05 (PRMU) |
|