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 |