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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2023-03-17
13:50
Nagasaki
(Primary: On-site, Secondary: Online)
An analysis on backbone structure of word co-occurrence networks
Shoudai Tazawa, Yutaka Shimada (Saitama Univ.) MSS2022-102 NLP2022-147
Complex networks observed in the real world contain strongly connected vertex pairs. A set of such vertex pairs and thei... [more] MSS2022-102 NLP2022-147
pp.186-191
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2021-12-03
16:10
Online Online Label smoothing with co-occurrences information for multi-label classification
Yuki Yasuda, Taichi Ishiwatari, Taro Miyazaki, Jun Goto (NHK) NLC2021-27 SP2021-48
Imbalanced learning is one of the big issues in multi-label classification task. Training models using such imbalanced d... [more] NLC2021-27 SP2021-48
pp.48-53
SeMI, IPSJ-MBL, IPSJ-UBI 2020-03-02
10:10
Online Online Co-occurrence of Action and Emotion Using Life Log
Yutaka Yoshida (Nagoya City Univ.), Emi Yuda (Tohoku Univ.), Junichiro Hayano (Nagoya City Univ.) SeMI2019-119
Using the life log, we visualized the relationship between action and emotion obtained in daily life for 30 days using t... [more] SeMI2019-119
pp.1-3
CAS, ICTSSL 2019-01-25
10:25
Tokyo Kikai-Shinko-Kaikan Bldg. Analysis of Tweets Posted in 2018 Typhoon Jebi Disaster
Sanetoshi Yamada, Keisuke Utsu, Osamu Uchida (Tokai Univ.) CAS2018-129 ICTSSL2018-48
To minimize damage during disasters, the rapid collection and delivery of accurate information are essential. Because of... [more] CAS2018-129 ICTSSL2018-48
pp.63-68
AI, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI, IPSJ-ICS 2018-03-02
16:20
Hokkaido   The Co-occurrence Link Concept-Base Construction Method using Wikipedia
Kazuaki Nagao, Seiji Tsuchiya, Hirokazu Watabe (Doshisya) AI2017-47
In order to make common sense judgment, it is necessary for a computer to be able to judge the relationship between a wo... [more] AI2017-47
pp.25-30
ET 2016-03-05
11:10
Kagawa Kawaga Univ. (Saiwai-cho Campus) Co-Occurrence Corpus Based on Parsing of Phrase Structure and Dependency Structure for Second Language Writing
Hou Riku, Yasuo Miyoshi (Kochi Univ.) ET2015-114
In this research, the example sentences that match the intended want to tell at the time of the second language writing ... [more] ET2015-114
pp.115-118
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
CS, IPSJ-AVM, ITE-BCT, IE [detail] 2011-12-16
15:15
Aichi Nagoya Univ. Rotation and scale-invariant local feature based on co-occurrence of edge gradient and its application to general object recognition
Yoshihiko Kawai, Mahito Fujii (NHK) CS2011-78 IE2011-102
A bag-of-visual-words method based on a frequency histogram of local features is widely used for detecting general objec... [more] CS2011-78 IE2011-102
pp.139-144
IBISML 2011-11-09
15:45
Nara Nara Womens Univ. Extraction of Damage Patterns of a Fuel Cell by Clustering Considering Co-occurrence between Events
Daiki Inaba, Ken-ichi Fukui (Osaka Univ.), Kazuhisa Sato, Junichirou Mizusaki (Tohoku Univ.), Masayuki Numao (Osaka Univ.) IBISML2011-59
Solid oxide fuel cell (SOFC) is an efficient generator and researched for practical use. However, one of the problems is... [more] IBISML2011-59
pp.113-122
AI 2008-06-30
16:55
Tokyo Kwansei Gakuin University, Tokyo Marunouchi Campus Automatic Extraction of Related Term Networks from FAQ Sites
Tomonori Yoshida, Motohiro Mase, Yasuhiko Kitamura (Kwansei Gakuin Univ.) AI2008-13
This paper describes a method to extract related term network which shows relationships of terms from word-of-mouth info... [more] AI2008-13
pp.75-80
TL 2007-12-14
13:30
Tokyo Tokyo University of Technology Extraction of the term having the explicit relation
Katsutoshi Hisazumi, Ryosuke Sumitomo, Seiji Tsuchiya, Fuji Ren (Tokushima Univ.) TL2007-46
This paper present an extraction method based on terms have the explicit relations. Usually, it is difficule to extract ... [more] TL2007-46
pp.31-36
NLC 2007-01-31
16:00
Hokkaido Sapporo Convention Center Extraction of Hierarchical Relations among Words Based on Co-occurrences between Words and Semantic Attributes
Katsuji Bessho, Toshio Uchiyama, Ryoji Kataoka (NTT)
The co-occurrence vectors that are the co-occurrence frequencies between words and semantic attributes in a corpus refle... [more] NLC2006-92
pp.31-36
 Results 1 - 12 of 12  /   
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