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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
KBSE, SWIM 2021-05-21
14:45
Online Online Calculating similarity among Java programs based on method calls and visualization of similar programs
Yoshihisa Udagawa (Tokyo Univ. of Information Sciences) KBSE2021-5 SWIM2021-5
One of the promising ways to improve programming techniques is to refer to sample programs published on the Internet. Ho... [more] KBSE2021-5 SWIM2021-5
pp.25-30
PRMU 2020-12-18
17:15
Online Online Rethinking the local similarity in content-based image retrieval
Longjiao Zhao (Nagoya Univ.), Yu Wang (Ritsumeikan Univ), Yoshiharu Ishikawa (Nagoya Univ.), Jien Kato (Ritsumeikan Univ) PRMU2020-68
Recently, Convolutional Neural Networks(CNN) have shown good performance in the image retrieval task. Especially, local ... [more] PRMU2020-68
pp.172-176
SIP, CAS, MSS, VLD 2017-06-19
09:30
Niigata Niigata University, Ikarashi Campus Divergence Similarity for Color Images and Its Subjective Assessment
Mizuki Murayama, Shogo Muramatsu, Hisakazu Kikuchi (Niigata Univ.) CAS2017-1 VLD2017-4 SIP2017-25 MSS2017-1
For improvements of content-based image retrieval, some indexes that calculate similarities between 2 color images are n... [more] CAS2017-1 VLD2017-4 SIP2017-25 MSS2017-1
pp.1-5
SC 2017-06-02
16:00
Fukushima University of Aizu(UBIC 3D) Domain Information Measure with Novel Ontology Generation for Web Service Clustering
Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik (Univ. of Aizu) SC2017-6
With the growth of the Internet, considerable web services are increasing rapidly in service communities. By reason of t... [more] SC2017-6
pp.27-32
SC 2016-11-04
11:30
Hyogo Takigawa Memorial Hall, Kobe Univ. Web Service Clustering through Calculating Semantic Similarity of Web Services using Novel Ontology Learning Method
Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik (UOA), Banage Thenne Gedara Samantha Kumara (SUSL) SC2016-21
Web service clustering is playing a major role in the efficient Web service discovery and
recommendation. Clustering is... [more]
SC2016-21
pp.13-18
LOIS 2016-03-03
13:00
Okinawa Central Community Center, Miyakojima-City Article Retrieval Using Distributed Representations of Abstracts
Suguru Takatoku, Yasuhiko Higaki (Chiba Univ.) LOIS2015-70
The purpose of this study is to evaluate article retrieval using distributed representations of abstracts. This method o... [more] LOIS2015-70
pp.39-44
IT 2015-09-04
10:15
Ishikawa Hakusan Shobutei Nested Lattice Hashing Scheme for Similarity Search Applications
Thanh Xuan Nguyen, Ricardo Antonio Parrao Hernandez, Brian Michael Kurkoski (JAIST) IT2015-37
This research targets improving similarity search efficiency using a nested lattice hashing scheme. Similarity search ha... [more] IT2015-37
pp.19-24
SC 2015-03-27
13:05
Fukushima Aizu Univ. Web Service Discovery with Domain Specific Context Awareness
Banage Thenne Gedara Samantha Kumara, Incheon Paik, Koswatte Ralalage Chathurika Koswatte, Akila Siriweera (University of Aizu) SC2014-14
Service discovery is the process of finding the appropriate services for user request from set of services. Service matc... [more] SC2014-14
pp.1-6
SC 2014-01-10
17:05
Tokyo NII Context Aware Web Service Similarity and Visualization
Banage T. G. S. Kumara, Incheon Paik, Hiroki Ohashi, Yuichi Yaguchi (Univ. of Aizu) SC2013-18
Web service similarity calculation is a major challenge in service computing research. There are several methods used in... [more] SC2013-18
pp.31-36
DE 2013-06-22
16:03
Tokyo ASTUDIO, Aoyama Gakuin Univ. Language-independent Short Text Similarity Measurements Using the Vector of Wikipedia Articles
Tatsuya Nakamura, Masumi Shirakawa, Takahiro Hara, Shojiro Nishio (Osaka Univ.) DE2013-15
In this paper, we proposed a language-independent method to measure similarity between short texts written in different ... [more] DE2013-15
pp.53-58
PRMU 2013-02-22
14:30
Osaka   Sequence Number-free Detection of Similar Sequences Among Multiple Sequences -- Proposal of Circle Continuous Dynamic Programming --
Ryuichi Oka (Aizu Univ.) PRMU2012-172
We propose a method called Circle Continuous Dynamic Programming (CCDP) for sequence number-free detection of similar se... [more] PRMU2012-172
pp.197-202
IBISML 2012-11-07
15:30
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Privacy Breach and Differential Privacy of Similarity Search
Hiromi Arai (RIKEN), Jun Sakuma (Univ. of Tsukuba) IBISML2012-60
We examine the database privacy of similarity based ranking for a database of private records where each record and quer... [more] IBISML2012-60
pp.185-192
DE 2012-08-01
11:30
Aichi Nagoya University Exploration on Efficient Similar Sentences Extraction
Yanhui Gu, Zhenglu Yang, Miyuki Nakano, Masaru Kitsuregawa (Univ. of Tokyo) DE2012-19
Similar sentences extraction is an essential issue for many applications, such as natural language processing, Web page ... [more] DE2012-19
pp.17-22
DE 2011-12-16
11:35
Kyoto Kyoto Sangyo University A Study on Efficient Searching Top-k Semantic Similar Sentences
Yanhui Gu, Zhenglu Yang, Masaru Kitsuregawa (Univ. of Tokyo) DE2011-42
Semantic similarity measure between sentences is an important issue in many applications, such as, text mining, Web page... [more] DE2011-42
pp.13-18
PRMU, DE 2011-06-06
13:00
Kanagawa   Mining Self-Similarity for Near-Duplicate Video Retrieval
Zhipeng Wu, Kiyoharu Aizawa (Univ. of Tokyo) DE2011-5 PRMU2011-36
Nowadays, with the exponential growth of digital video sources such as video-sharing websites and online TV broadcasting... [more] DE2011-5 PRMU2011-36
pp.25-30
PRMU, DE 2011-06-06
13:30
Kanagawa   On the Dissimilarity of Videos Considering Visibility for Similarity Retrieval of Plasma Videos
Yoshikazu Takeda, Teruhisa Hochin, Hiroki Nomiya (KIT), Hideya Nakanishi, Mamoru Kojima (NIFS) DE2011-6 PRMU2011-37
This paper proposes a disimilarity of videos considering visibility for the purpose of improving the accuracy of the sim... [more] DE2011-6 PRMU2011-37
pp.31-36
AI 2011-02-28
15:10
Osaka Kwansei Gakuin Univ. Osaka Umeda Campus Evaluation of Multilingual Parallel Texts Search Method Using N-gram
Hiroshi Sakamoto, Yasuhiko Kitamura (Kwansei Gakuin Univ.), Taku Fukushima, Takashi Yoshino (Wakayama Univ.) AI2010-52
In multilingual communication support using parallel texts, it is difficult to retrieve appropriate parallel texts becau... [more] AI2010-52
pp.51-56
PRMU 2011-02-17
15:30
Saitama   Video Similarity Measuring using SIFT Trajectories without Pre-learning Process
Hiroaki Kubo, Hideo Saito (Keio Univ.), Shin'ichi Satoh (NII) PRMU2010-215
Video similarity is a basic technique of scene/object recognition.
To extract discriminative features from videos, rece... [more]
PRMU2010-215
pp.43-48
NC, MBE
(Joint)
2010-03-11
16:25
Tokyo Tamagawa University Similarity-based Image Retrieval considering Artifacts by Self-Organizing Map with Refractoriness
Syohei Hayashida, Yuko Osana (Tokyo Univ. of Tech.) NC2009-173
In this report, we propose a similarity-based image retrieval
considering artifacts by self-organizing map with refract... [more]
NC2009-173
pp.501-506
PRMU, SP, MVE, CQ 2010-01-22
09:50
Kyoto Kyoto Univ. Similarity-Based Driving Behavior Retrieval Using Time-Series Active Search
Masashi Naito, Akira Ozaki, Chiyomi Miyajima, Takanori Nishino, Norihide Kitaoka, Kazuya Takeda (Nagoya Univ.) CQ2009-88 PRMU2009-187 SP2009-128 MVE2009-110
With the increasing presence and recent advances of drive recorders, rich sensor data can be recorded and stored in real... [more] CQ2009-88 PRMU2009-187 SP2009-128 MVE2009-110
pp.219-224
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