Paper Abstract and Keywords |
Presentation |
2014-01-28 16:55
An Image Recognition System with Multi-Resolutional Feature Learning on the 3D FPGA-Array "Vocalise" Baku Ogasawara, Satoru Yokota, Jiang Li, Yusuke Atsumari, Hiromasa Kubo, Masatoshi Sekine (TUAT) VLD2013-116 CPSY2013-87 RECONF2013-70 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We propose and develop "an image recognition system" with multi-resolutional feature learning function. The feature learning function is combined Self-Organizing Map(SOM) with multi-resolution analysis. We also develop a HPC system constituted by connecting FPGA cards in the shape of a three-dimensional array. We call the HPC system "Vocalise" (Virtual Object by Configurable Array of Little Scalable Engine). In this paper, we describe how to implement the image recognition system in Vocalise. In addition, we show an effectiveness of using Vocalise from the implementation result. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Multi-Resolution Analysis / Self-Organizing Map / Image Recognition / 3D FPGA Array / Vocalise / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 418, RECONF2013-70, pp. 85-90, Jan. 2014. |
Paper # |
RECONF2013-70 |
Date of Issue |
2014-01-21 (VLD, CPSY, RECONF) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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VLD2013-116 CPSY2013-87 RECONF2013-70 |
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