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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 28  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-19
13:30
Hokkaido Hokkaido Univ. Characteristic analysis to improve the performance of graph-based methods in approximate nearest neighbor search
Tomohiro Kanaumi, Yusuke Matsui (Univ. Tokyo) ITS2023-52 IE2023-41
Approximate nearest neighbor search (ANNS) is the problem of finding the nearest vector to a given query vector in a dat... [more] ITS2023-52 IE2023-41
pp.34-39
PRMU 2018-12-13
10:30
Miyagi   Candidate Reduction Method Using Hierarchical Overlapping Clustering and Convolutional Neural Network for Fast Chinese Character Recognition
Soichi Tashima, Hideaki Goto (Tohoku Univ.) PRMU2018-77
Along with the widespread of the mobile devices equipped with cameras, many applications using the camera function have ... [more] PRMU2018-77
pp.13-18
HCS 2018-11-02
14:45
Ibaraki   Method for Detecting Near-duplicate Recipes Based on Nearest Neighbor Search for Features of Cooking Instructions and Food Images
Masaki Oguni (Tsukuba Univ.), Lasguido Nio, Yu Hirate (RIT), Yohei Seki (Tsukuba Univ.) HCS2018-44
In user-generated recipe websites, recipes that imitated recipe elements of other recipes are posted. In this study, we ... [more] HCS2018-44
pp.19-24
VLD, HWS
(Joint)
2018-02-28
10:20
Okinawa Okinawa Seinen Kaikan k-Nearest Neighbor Search Hardware Using Locality Sensitive Hashing for High-Dimensional Data
Yuto Arai, Shin'ichi Wakabayashi, Shinobu Nagayama, Masato Inagi (Hiroshima City Univ.) VLD2017-91
Recently, k-nearest neighbor search is frequently used in the field of pattern recognition, clustering,etc.
However, f... [more]
VLD2017-91
pp.13-18
CQ, IMQ, MVE, IE
(Joint) [detail]
2015-03-04
11:40
Tokyo Seikei Univ. Fast Bag-of-Feature Generation Featuring Approximate Nearest Image-Patch Search
Kei Ito, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) IMQ2014-53 IE2014-114 MVE2014-101
In Bag-of-Features models, which have been widely used in object recognition, various speed-up approaches have been deve... [more] IMQ2014-53 IE2014-114 MVE2014-101
pp.125-126
CPSY, IPSJ-EMB, IPSJ-SLDM, DC [detail] 2014-03-16
12:05
Okinawa   Evaluation of Simple Routing Method for Reverse k-Nearest Neighbor Queries in Spatial Networks
Yusuke Gotoh (Okayama Univ.) CPSY2013-114 DC2013-101
In this paper, we propose and evaluate the simple routing method for reverse k-nearest neighbor queries in spatial netwo... [more] CPSY2013-114 DC2013-101
pp.271-276
IBISML 2013-11-13
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Gaussian Sparse Hashing
Koichiro Suzuki, Mitsuru Ambai, Ikuro Sato (Denso IT Labo) IBISML2013-56
Binary hashing has been widely used for Approximate Nearest Neighbor(ANN) search due to fast query
speed and less stora... [more]
IBISML2013-56
pp.155-160
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
PRMU 2013-02-21
15:30
Osaka   Fast and Memory Efficient Approximate Nearest Neighbor Search with Distance Estimation Based on Space Indexing
Tomokazu Sato, Masakazu Iwamura, Koichi Kise (Osaka Pref Univ.) PRMU2012-142
(To be available after the conference date) [more] PRMU2012-142
pp.73-78
PRMU 2013-02-22
10:00
Osaka   Grafting Trees A Nearest Neighbor Srarch Algorithm without Distance Computation
Yohei Ohtani, Toshikazu Wada, Hiroshi Oike (Wakayama Univ.) PRMU2012-162
This report presents a nearest neighbor search algorithm without distance computation. K-D tree based nearest neighbor s... [more] PRMU2012-162
pp.137-142
PRMU, HIP 2012-12-13
14:00
Yamagata   High-Accuracy Clustering Using LDA for Fast Japanese Character Recognition
Takahiro Sasaki, Hideaki Goto (Tohoku Univ.) PRMU2012-73 HIP2012-62
Recognizing text in natural scene images is very important to develop various systems such as an assis-
tant device for... [more]
PRMU2012-73 HIP2012-62
pp.19-24
PRMU, FM 2011-12-16
14:45
Shizuoka Hamamatsu Campus, Shizuoka Univ. Example-based Generic Object Detection Using Similar-Image Search
Yuki Watanabe, Hiroto Nagayoshi, Atsushi Hiroike (Hitachi Ltd.) PRMU2011-142
In this paper, we propose an object detection method using similar-image search, which can be applied to various categor... [more] PRMU2011-142
pp.101-106
IN, NS
(Joint)
2011-03-04
09:10
Okinawa Okinawa Convention Center An in-network spam filtering method using nearest neighbor search of edit distance
Yosuke Tsukajima, Akihiro Nakao (Univ. of Tokyo) NS2010-244
Email has become an indispensable means for the communication in social life. However, a huge amount of spam has become ... [more] NS2010-244
pp.449-454
COMP 2010-06-25
16:00
Tokyo Tokyo Tech A Constant Work Space Algorithm for Finding Nearest Larger Neighbors
Tetsuo Asano (JAIST), Sergey Bereg (Univ. of Texas at Dallas), David Kirkpatrick (Univ. of British Columbia) COMP2010-22
In this report we consider a problem of finding nearest
larger elements using only constant work space in addition
to ... [more]
COMP2010-22
pp.45-52
PRMU 2010-02-19
11:45
Tokyo Tokyo Univ. of Agriculture and Technology Real-Time Case-Based Recognition of Camera-Captured Characters
Masakazu Iwamura, Tomohiko Tsuji, Koichi Kise (Osaka Pref. Univ.) PRMU2009-222
In this paper,
in the recognition problem of camera-captured characters,
we present how to realize quick and precise r... [more]
PRMU2009-222
pp.87-92
PRMU, SP, MVE, CQ 2010-01-21
13:10
Kyoto Kyoto Univ. Derivation of Theoretical Formulae of Accuracy and Memory Amount on Accessing Neighboring Buckets in Hash-Based Approximate Nearest Neighbor Search
Tomoyuki Muto, Masashi Tada, Masakazu Iwamura, Koichi Kise (Osaka Prefecture Univ.) CQ2009-71 PRMU2009-170 SP2009-111 MVE2009-93
Approximate nearest neighbor search is a technique which greatly
reduces processing time and required amount of memory ... [more]
CQ2009-71 PRMU2009-170 SP2009-111 MVE2009-93
pp.109-114
PRMU 2009-11-26
15:20
Ishikawa Ishikawa Industrial Promotion Center [Tutorial Lecture] Specific Object Recognition
Koichi Kise (Osaka Pref. Univ.) PRMU2009-104
Specific object recognition is a process to recognize instances
of objects captured as images. In other words, it indic... [more]
PRMU2009-104
pp.79-87
PRMU 2009-11-27
09:30
Ishikawa Ishikawa Industrial Promotion Center Approximate Nearest Neighbor Search Based on a Multi-Valued Expression of Closeness
Masashi Tada, Tomoyuki Muto, Masakazu Iwamura, Koichi Kise (Osaka Pref. Univ.) PRMU2009-110
Approximate nearest neighbor search is a technique which greatly
reduces processing time and required amount of memory
... [more]
PRMU2009-110
pp.121-126
PRMU 2009-03-13
09:00
Miyagi Tohoku Institute of Technology Color Restoration From Saturated Images -- Restration method up to 2 channel saturations --
Takanori Tamaki, Toshikazu Wada, Kazumasa Suzuki (Wakayama Univ.) PRMU2008-243
When we take a photograph,excessive light over the dynamic range of the camera can be injected by proximal lighting or l... [more] PRMU2008-243
pp.19-24
PRMU, DE 2008-06-19
14:00
Hokkaido Otaru-Shimin-Kaikan A study on fast search of the nearest string in edit distance
Hiroyuki Hanada, Mineichi Kudo (Hokkaido Univ.) DE2008-8 PRMU2008-26
The problem is finding the nearest string, measured by edit distance,
to a query string $q$ from a set $T$ of strings. ... [more]
DE2008-8 PRMU2008-26
pp.41-46
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