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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC | 2020-09-10 15:00 |
Online | Online | Evaluation of Capabilities on Information Retrieval toward Space Systems Discrepancy Reports Naoko Okubo, Kohsuke Namihira, Yasushi Ueda (JAXA), Kai Yu, Shintaro Kawamura, Shoichi Naito, Katsumi Kanasaki (RICOH), Masafumi Katahira (JAXA)  NLC2020-7 |
The Japan Aerospace Exploration Agency (JAXA) is working on to the information retrieval from the discrepancy reports f... [more] | NLC2020-7 pp.28-33 |
| DE, CEA | 2016-12-01 09:30 |
Tokyo | Associative Food Search Triggered by User Feedback to Food Image Recognition Sosuke Amano (Tokyo Univ./foo.log), Kiyoharu Aizawa (Tokyo Univ.), Kazuki Maeda, Masanori Kubota, Makoto Ogawa (foo.log) DE2016-22 |
Food diaries or diet journals are thought to be effective for improving the dietary lives of users. In this paper, we pr... [more] | DE2016-22 pp.7-12 |
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| DE | 2016-09-13 17:10 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Item Recommendation Method for Collaborative Filtering Based on Empathy with Reviewers Daichi Minami, Taketoshi Ushiama (Kyushu Univ.) DE2016-17 |
Today, it has become difficult for people to find books that fulfill their preference because the number of books in the... [more] | DE2016-17 pp.31-36 |
| SC | 2016-01-15 14:30 |
Kyoto | Kyoto University (Design Innovation Center) | Estimating Skills of Crowd Workers Based on Awarded Contracts Shogo Ito, Donghui Lin, Toru Ishida (Kyoto Univ.) SC2015-18 |
Worker selection is an important issue in crowdsourcing. In most crowdsourcing systems, reputation score is an essential... [more] | SC2015-18 pp.19-24 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-23 15:00 |
Hokkaido | Hokkaido Univ. | A Note on Image Retrieval Based on Evaluation of Retrieval Results
-- An Application to Similarity Evaluation of Surface Structure of Organisms Taken by Scanning Electron Microscope -- Akihiro Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents image retrieval based on evaluation of retrieval results by scanning electron microphotographs (SEM ... [more] | |
| NLC | 2014-06-15 09:50 |
Fukuoka | Kyushu Institute of Technology | A Method for Utilizing Less Relevant Documents to Relevance Feedback Takaaki Wada, Hidetoshi Nagai, Teigo Nakamura (Kyushu Inst. of Tech.) NLC2014-12 |
In this paper, we propose a method for utilizing less relevant documents to relevance feedback in document retrieval. I... [more] |
NLC2014-12 pp.65-69 |
| PRMU | 2014-03-14 11:45 |
Tokyo | Image Retrieval Based on Group Photo Database Organization Yujiro Nakai, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2013-200 |
Socially related people such as family or friends often take their photos together. This paper proposes an efficient ... [more] |
PRMU2013-200 pp.191-196 |
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| DE, IPSJ-DBS, IPSJ-IFAT | 2013-07-23 10:40 |
Hokkaido | Hokkaido University | Improving Pseudo-Relevance Feedback via Microblog Document Selection Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara (Kobe Univ.) DE2013-21 |
Query expansion method using pseudo-relevance feedback is significantly effective for microblog search because the query... [more] | DE2013-21 pp.83-88 |
| DE | 2010-06-28 14:40 |
Aichi | Nagoya Univ. | Two step adjustment technique of term weight Hiroya Yano, Tai Nakajima (Waseda Univ.), Hayato Yamana (Waseda Univ./NII) DE2010-9 |
TF・IDF method is one of the methods to weight terms in the field of document retrieval. IDF value shows the degree of ho... [more] | DE2010-9 pp.45-50 |
| PRMU | 2009-03-14 11:45 |
Miyagi | Tohoku Institute of Technology | Face-Based Image Retrieval under Age Variation Using Relevance Feedback Atsushi Usui, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2008-272 |
Given a single face image as a query, it is very difficult to retrieve images of a specific person from a human image co... [more] | PRMU2008-272 pp.217-222 |
| PRMU | 2008-10-24 10:40 |
Tokushima | Tokushima Univ. | Query-by-Sketch Image Retrieval Using Data Mining Takashi Hisamori, Gosuke Ohashi (Shizuoka Univ.) PRMU2008-100 |
The previous method that was query-by-sketch image retrieval using online-strokes combined the shape of each stroke and ... [more] | PRMU2008-100 pp.73-78 |
| MVE, IE | 2007-07-10 09:30 |
Shizuoka | Resorpia Atami | Object Retrieval in Personal Eye-View Video using Adjacency Takahiro Koizumi, Yuichi Nakamura (Kyoto Univ.) IE2007-29 MVE2007-32 |
In this paper, we propose an object retrieval technique from personal experience records. First, we present our object r... [more] | IE2007-29 MVE2007-32 pp.55-60 |
| PRMU, DE | 2006-06-15 13:30 |
Hokkaido | Associative Retrieval of Personal Experience Records based Associative Retrieval of Personal Experience Records based on Adjacency Takahiro Koizumi, Yuichi Nakamura (Kyoto Univ.) |
In this paper, we propose an efficient retrieval technique for personal experience records. Videos taken by a head-mount... [more] | DE2006-7 PRMU2006-45 pp.37-42 |
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| ITS, IE, ITE-ME, ITE-AIT, ITE-HI | 2006-02-20 14:15 |
Hokkaido | Hokkaido Univ. | Video Retrieval System with Query Generation Assistance Using Relevance Feedback Yasuhiko Fujisaki, Takamichi Miyata (Tokyo Tech.), Yasuhiro Inazumi (Kanagawa Univ.), Aki Kobayashi, Katsunori Yamaoka, Yoshinori Sakai (Tokyo Tech.) |
In content based video retrieval, it is di±cult to obtain a query (not keywords) from a user who only has an ambiguous m... [more] | ITS2005-63 IE2005-270 pp.95-100 |
| PRMU, DE | 2005-06-17 09:30 |
Hokkaido | Hokkaido Univ. | Retrieval of Personal Experience Records Using Relevance Feedback with Structuring Filters Takahiro Koizumi (Kyoto Univ.), Yoshinari Kameda (Univ. of Tsukuba), Yuichi Nakamura (Kyoto Univ.) |
In this paper, we propose an ``Relevance Feedback with Structuring Filter'' to efficiently retrieve personal experience ... [more] | DE2005-13 PRMU2005-34 pp.1-6 |
| IE, CQ, LOIS, IEE-CMN | 2004-09-17 16:15 |
Hyogo | Interactive content-based image retrieval using group-based relevance feedback Gang Zhao, Aki Kobayashi, Yoshinori Sakai (T.I.T.) |
In this paper, we proposed a novel interactive image retrieval system using group-based relevance feedback, by which the... [more] | CQ2004-89 OIS2004-43 IE2004-50 pp.59-64 |
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