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Paper Abstract and Keywords
Presentation 2013-11-13 15:45
[Poster Presentation] Gaussian Sparse Hashing
Koichiro Suzuki, Mitsuru Ambai, Ikuro Sato (Denso IT Labo)
Abstract (in Japanese) (See Japanese page) 
(in English) Binary hashing has been widely used for Approximate Nearest Neighbor(ANN) search due to fast query
speed and less storage cost. It is important for hashing functions to preserve a similarity of data space. We introduce
a novel concept for preserving the similarity, a robustness index and an error cost function, and propose a hashing
function learning method by optimizing the cost function with an assumption the data has Gaussian probability
density function. Furthermore, we expand this method to learn a sparse hash function for faster coding. It is
demonstrated that proposed methods have comparable level of similarity preservation to the existing methods.
Keyword (in Japanese) (See Japanese page) 
(in English) binary codes / / approximate image retrieval / approximate nearest neighbor search / sparse matrix / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 286, IBISML2013-56, pp. 155-160, Nov. 2013.
Paper # IBISML2013-56 
Date of Issue 2013-11-05 (IBISML) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee IBISML  
Conference Date 2013-11-10 - 2013-11-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Institute of Technology, Kuramae-Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 16th IBIS Workshop & The 2nd IBIS Tutorial 
Paper Information
Registration To IBISML 
Conference Code 2013-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Gaussian Sparse Hashing 
Sub Title (in English)  
Keyword(1) binary codes  
Keyword(3) approximate image retrieval  
Keyword(4) approximate nearest neighbor search  
Keyword(5) sparse matrix  
1st Author's Name Koichiro Suzuki  
1st Author's Affiliation Denso IT Laboratory, Inc. (Denso IT Labo)
2nd Author's Name Mitsuru Ambai  
2nd Author's Affiliation Denso IT Laboratory, Inc. (Denso IT Labo)
3rd Author's Name Ikuro Sato  
3rd Author's Affiliation Denso IT Laboratory, Inc. (Denso IT Labo)
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Date Time 2013-11-13 15:45:00 
Presentation Time 180 
Registration for IBISML 
Paper # IEICE-IBISML2013-56 
Volume (vol) IEICE-113 
Number (no) no.286 
Page pp.155-160 
#Pages IEICE-6 
Date of Issue IEICE-IBISML-2013-11-05 

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