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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 5 of 5  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SS 2018-03-07
12:00
Okinawa   A Determination Method of Locality Sensitive Hashing Parameters for Code Clone Detection
Shogo Tokui (Osaka Univ.), Norihiro Yoshida (Nagoya Univ.), Eunjong Choi (NAIST), Katsuro Inoue (Osaka Univ.) SS2017-74
LSH (Locality-Sensitive Hashing) is a near neighbor search algorithm that performs probabilistic hashing of high-dimensi... [more] SS2017-74
pp.57-62
ICD, CPSY 2014-12-01
15:15
Tokyo Kikai-Shinko-Kaikan Bldg. [Poster Presentation] A Scalable Hardware Architecture of Locality-Sesitive Hashing for similarity Search
Tsunaki Sadahisa, Kasho Yamamoto, Dahoo Kim, Eric S. Fukuda, Tetsuya Asai, Masato Motomura (Hokkaido Univ.) ICD2014-83 CPSY2014-95
Locality-Sensitive Hashing (LSH) is a hash function that projects similar data into memory closely. In similarity search... [more] ICD2014-83 CPSY2014-95
p.45
EMM, ISEC, SITE, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] 2013-07-19
12:55
Hokkaido   On Identification Methods for Visible-Light Paper Artifact-Metric Systems
Ryosuke Suzuki, Tsutomu Matsumoto (Yokohama National Univ.) ISEC2013-41 SITE2013-36 ICSS2013-46 EMM2013-43
A visible-light paper artifact-metric system authenticates a piece of paper using its individual pattern of entangled fi... [more] ISEC2013-41 SITE2013-36 ICSS2013-46 EMM2013-43
pp.289-295
DE 2011-12-16
10:45
Kyoto Kyoto Sangyo University A Method to Reduce Remote Accesses in L1-Distance-based Distributed Locality-Sensitive Hashing and Its Implementation Evaluation
Hisashi Koga, Toshinori Watanabe (UEC) DE2011-40
Locality-Sensitive Hashing (LSH) is an approximate nearest-neighbor search algorithm for high-dimensional data. Though L... [more] DE2011-40
pp.1-6
PRMU, MVE, IPSJ-CVIM [detail] 2011-01-21
15:20
Shiga   Image-based Indoor localization of Visitors using Time Variation -- for Applying to Museums --
Hisato Kawaji, Soichiro Kawamura, Toshihiko Yamasaki, Kiyoharu Aizawa (The Univ. of Tokyo) PRMU2010-185 MVE2010-110
In this paper, we proposed an estimation approach of visitors’ routes in a museum. Our approach is based on the image ma... [more] PRMU2010-185 MVE2010-110
pp.291-296
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