|
|
All Technical Committee Conferences (Searched in: All Years)
|
|
Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
|
Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM (Joint) [detail] |
2014-11-26 16:15 |
Oita |
B-ConPlaza |
General-Purpose Pattern Recognition Processor Based on the k Nearest-Neighbor Algorithm with High-Speed, Low-Power Shogo Yamasaki, Toshinobu Akazawa, Fengwei An, Hans Juergen Mattausch (Hiroshima Univ.) VLD2014-75 DC2014-29 |
A learning and pattern recognition processors for the k nearest neighbor (k-NN) recognition algorithm using a nearest Eu... [more] |
VLD2014-75 DC2014-29 pp.21-26 |
ICD, IPSJ-ARC |
2014-03-07 10:15 |
Aichi |
|
Flexible Word-Parallel Euclidean Distance Search Associative Memory for Applications with Varying Dimensionality of Reference Vectors Toshinobu Akazawa, Hans Jurgen Mattausch (Hiroshima Univ.) ICD2013-138 |
The reported fully word-parallel associative memory architecture for nearest Euclidean distance (ED) search, which has f... [more] |
ICD2013-138 pp.33-37 |
ICD |
2014-01-28 15:00 |
Kyoto |
Kyoto Univ. Tokeidai Kinenkan |
[Poster Presentation]
Digital Word-Parallel Associative Memory for Smallest Euclidean Distance Search and Architecture verification in 180nm/65nm CMOS Toshinobu Akazawa, Hans Juergen Mattausch (Hiroshima Univ.) ICD2013-132 |
The reported digital word-parallel associative memory architecture for nearest Euclidean distance (ED) search is based o... [more] |
ICD2013-132 p.77 |
ICD |
2014-01-29 14:00 |
Kyoto |
Kyoto Univ. Tokeidai Kinenkan |
Development of a Learning and Recognition SoC Based on the k Nearest-Neighbor Algorithm with High-Speed, Low-Power and Error-Free Operation Shogo Yamasaki, Toshinobu Akazawa, Fengwei An, Hans Juergen Mattausch (Hiroshima Univ) ICD2013-136 |
In this study, we propose the hardware implementation of the k-nearest neighbor method on an SoC with learning and recog... [more] |
ICD2013-136 pp.85-88 |
|
|
|
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)
|
[Return to Top Page]
[Return to IEICE Web Page]
|