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Paper Abstract and Keywords
Presentation 2015-09-04 10:15
Nested Lattice Hashing Scheme for Similarity Search Applications
Thanh Xuan Nguyen, Ricardo Antonio Parrao Hernandez, Brian Michael Kurkoski (JAIST) IT2015-37
Abstract (in Japanese) (See Japanese page) 
(in English) This research targets improving similarity search efficiency using a nested lattice hashing scheme. Similarity search has been established as a fundamental paradigm for a variety of applications, including information retrieval, data mining, multimedia database searching and machine learning. In principle, the similarity search problem is to find the object (e.g., image, sound, video, file) most similar to a given object in a set of objects, which are usually represented by a collection of real number feature vectors in Euclidean space. On the other hand, lattices form effective structures for various geometric, coding and quantization problems. This research takes advantage of lattices for quantizing feature vectors to hash values. The goal is to develop a lattice-based hashing scheme such that there is a proportional relationship between Euclidean distance and a metric we call first difference distance between features vectors. The proposed two-dimensional nested lattice code reduces the normalized mean square error (NMSE) by 20% compared to two-dimensional Gray code.
Keyword (in Japanese) (See Japanese page) 
(in English) Nested lattice / hashing scheme / similarity search / first difference distance / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 214, IT2015-37, pp. 19-24, Sept. 2015.
Paper # IT2015-37 
Date of Issue 2015-08-28 (IT) 
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 IT2015-37

Conference Information
Committee IT  
Conference Date 2015-09-04 - 2015-09-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Hakusan Shobutei 
Topics (in Japanese) (See Japanese page) 
Topics (in English) error correcting codes, general 
Paper Information
Registration To IT 
Conference Code 2015-09-IT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Nested Lattice Hashing Scheme for Similarity Search Applications 
Sub Title (in English)  
Keyword(1) Nested lattice  
Keyword(2) hashing scheme  
Keyword(3) similarity search  
Keyword(4) first difference distance  
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Keyword(6)  
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1st Author's Name Thanh Xuan Nguyen  
1st Author's Affiliation Japan Advanced Institute of Science and Tecnology (JAIST)
2nd Author's Name Ricardo Antonio Parrao Hernandez  
2nd Author's Affiliation Japan Advanced Institute of Science and Tecnology (JAIST)
3rd Author's Name Brian Michael Kurkoski  
3rd Author's Affiliation Japan Advanced Institute of Science and Tecnology (JAIST)
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Speaker Author-1 
Date Time 2015-09-04 10:15:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2015-37 
Volume (vol) vol.115 
Number (no) no.214 
Page pp.19-24 
#Pages 6 
Date of Issue 2015-08-28 (IT) 

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