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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 60  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MSS, CAS, IPSJ-AL [detail] 2023-11-17
14:25
Okinawa   Graph-based Feature Extraction and Clustering for NFT Transaction Data
Keitaro Nakai (Univ. Ryukyus), Hideki Kinjo (Okinawa Univ.), Morikazu Nakamura (Univ. Ryukyus) CAS2023-79 MSS2023-49
In this paper, we present the construction of transaction graphs for individual assets based on NFT transaction historic... [more] CAS2023-79 MSS2023-49
pp.101-106
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
10:45
Hokkaido Hokkaido Univ. A Note on Multi-label Image Classification in Animation Illustration Considering Hierarchical Relationships of Attributes
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a multi-label classification of animated illustrations considering the hierarchical relationships of... [more]
NS, NWS
(Joint)
2023-01-26
10:55
Yamaguchi Hybrid Meeting (Yamaguchi Prefecture)
(Primary: On-site, Secondary: Online)
Autonomous Decentralized Spectral Clustering for Hierarchical Routing in Dynamic Multi-hop Wireless Networks
Naoki Matsuhashi (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) NS2022-151
Multi-hop wireless networks are decentralized in that they do not depend on the existing communication infrastructure an... [more] NS2022-151
pp.7-12
MBE, NC
(Joint)
2022-03-03
15:55
Online Online Discrimination between healthy elderlies, dementia patients and prion disease patients by comparing brain functional connectivity networks
Chisho Takeoka, Toshimasa Yamazaki (KIT), Yoshiyuki Kuroiwa, Kimihiro Fujino, Toshiaki Hirai (Teikyo), Hidehiro Mizusawa (NCNP) MBE2021-99
In this study, we examined whether it is possible to discriminate healthy elderlies, patients, dementia patients and pri... [more] MBE2021-99
pp.51-54
KBSE, SC 2021-11-06
10:15
Online Online + Morioka City (KBSE)
(Primary: Online, Secondary: On-site)
[Poster Presentation] Service Clustering with Graph Embedding
Koki Okubo, Yohei Murakami (Ritsumeikan Univ.) KBSE2021-34 SC2021-33
Traditional service clustering methods classified services according to their functionalities based on Web service descr... [more] KBSE2021-34 SC2021-33
pp.53-55
MIKA
(3rd)
2021-10-28
10:30
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Adjusting Method for the Size of Clusters Generated by Autonomous Distributed Spectral Clustering in Hierarchical Routing for MANET
Naoki Matsuhashi (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.)
Hierarchical routing is necessary for scalable routing in MANETs, and autonomous distributed clustering of terminals has... [more]
NS 2021-10-07
15:10
Online Online Stability Conditions for Cluster Structures Generated by Autonomous Distributed Spectral Clustering in Hierarchical Routing for MANET
Naoki Matsuhashi (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) NS2021-72
Scalable routing in MANETs requires hierarchical routing, and autonomous distributed clustering of terminals has been st... [more] NS2021-72
pp.22-27
IN, NS, CS, NV
(Joint)
2021-09-09
13:05
Online Online Quantitative Evaluation of the Number of Servers Required to Obtain the Coverage of Community Formation Vertices in Autonomous Decentralized Management Graphs
Satoshi Tanaka, Kunitake Kaneko (Keio Univ.) IN2021-13
An autonomous decentralized management graph is a graph in which each of the multiple managers autonomously decides whic... [more] IN2021-13
pp.7-12
PN, NS, OCS
(Joint)
2021-06-25
11:10
Online Online Spectral clustering with an autonomous distributed manner for hierarchical routing of MANET
Naoki Matsuhashi (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) NS2021-30
MANET is a communication system that does not depend on the communication infrastructure and is expected to be a means o... [more] NS2021-30
pp.27-32
IN 2021-01-18
10:30
Online Online Local community and weak ties detection using random walk on hypergraph.
Ryo Oka (Keio Univ.), Yuuki Takai (RIKEN), Naoki Matsumoto (Keio Univ.), Masahiro Ikeda (RIKEN), Kunitake Kaneko (Keio Univ.) IN2020-41
There are many services that use a graph with a content as a vertex and their relationship as a edge. Community detectio... [more] IN2020-41
pp.1-6
AI 2019-07-22
11:30
Hokkaido   An Efficient Graph Sequence Clustering by Merging Vertices and Deleting Edges
Yoshitaka Kimura, Akihiro Inokuchi (Kwansei Gakuin Univ.) AI2019-5
In this paper, we tackle the problem for clustering a graph sequence to discover the change of community in social netwo... [more] AI2019-5
pp.21-26
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
10:25
Okinawa Okinawa Institute of Science and Technology Spatial-Temporal decomposition to resting and task MEG using DMD
Fumiya Nakai (NAIST), Okito Yamashita (ATR) NC2019-13 IBISML2019-11
Magneto/electroencephalography (M/EEG) observe neural activities with high spatial-temporal resolution without invasive ... [more] NC2019-13 IBISML2019-11
pp.51-56(NC), pp.73-78(IBISML)
HCGSYMPO
(2nd)

Mie Sinfonia Technology Hibiki Hall Ise A study on region-of-interest estimation from a pictorial biography toward digital support of Etoki
Yasuhiro Takemura, Hiroki Usui, Keisuke Doman (Chukyo Univ.), Ichiro Ide (Nagoya Univ.), Yoshito Mekada (Chukyo Univ.), Yasuro Abe (Nagoya Univ.)
Etoki is an oral narration of a pictorial biography that depicts a person's life with some pictures and words, and is re... [more]
NLC, IPSJ-DC 2018-09-06
17:20
Tokyo Seikei University Latent co-occurrence words graph extraction using sparse structure estimation -- Comparison of word vectors between topic model and distributed representation --
Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2018-19
We are considering application of "structural topic model" in order to extract customer insight from member questionnai... [more] NLC2018-19
pp.51-56
DE 2018-06-22
13:45
Tokyo LIFULL Co., Ltd. Personalized Social Search Based on Agglomerative Hierarchical Graph Clustering
Kenkichi Ishizuka (DWANGO) DE2018-7
This paper describes a personalized social search algorithm for retrieving multimedia contents of a consumer generated m... [more] DE2018-7
pp.31-35
SIS, IPSJ-AVM, ITE-3DMT [detail] 2018-06-08
11:30
Hokkaido Jozankei View Hotel Web video search reranking via graph-based soft clustering using heterogeneous metadata integration
Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2018-8
This paper addresses the problem of analyzing a heterogeneous graph for extracting topics including videos in a dataset ... [more] SIS2018-8
pp.69-74
CQ, MVE, IE, IMQ
(Joint) [detail]
2018-03-09
11:15
Okinawa Okinawa Industry Support Center Graph Construction for Mobile Delay Tomography based on Graph Fourier Transform
Hideaki Kinsho (Osaka Univ.), Rie Tagyo, Daisuke Ikegami (NTT), Takahiro Matsuda (Osaka Univ.), Jun Okamoto (NTT), Tetsuya Takine (Osaka Univ.) CQ2017-121
In wide area mobile networks, {em Mobile Delay Tomography} has been proposed in order to estimate delays at network comp... [more] CQ2017-121
pp.105-110
NLP, CAS 2017-10-06
13:00
Niigata Machinaka Campus Nagaoka Derivation of Global Clustering Coefficient Maximizing Graphs in the Case Where the Size is Close to the Order
Ryoka Kuriki, Norikazu Takahashi (Okayama Univ.) CAS2017-37 NLP2017-62
The clustering coefficient is a measure of the tendency of vertices in a network to form clusters. It is known that many... [more] CAS2017-37 NLP2017-62
pp.69-74
NLC 2017-09-08
10:50
Tokyo Seikei University Applicability of Structural Topic Model to job search site VOC text analysis -- Feature selection with Bayesian Network Structure Learning --
Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2017-25
We describe the result of examination applying Structural Topic Model and Bayesian net structure learning complementaril... [more] NLC2017-25
pp.53-58
PRMU, IE, MI, SIP 2017-05-25
15:10
Aichi   Graph Learning for Spectral Clustering using Low-rank and Sparse Decomposition
Taiju Kanada, Masaki Onuki, Yuichi Tanaka (TUAT) SIP2017-10 IE2017-10 PRMU2017-10 MI2017-10
Spectral clustering is a method of clustering using eigenvectors of graph Laplacian. By using appropriate graphs, it is ... [more] SIP2017-10 IE2017-10 PRMU2017-10 MI2017-10
pp.55-60
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