Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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] |
|
MVE |
2022-09-09 11:00 |
Tokyo |
(Primary: On-site, Secondary: Online) |
An Image Recognition Model of Danger Objects for Diverse Clients using Federated Learning Yasuhiro Nitta, Ryo Yonetani, Maki Sugimoto, Hideo Saito (Keio Univ.) MVE2022-15 |
A disabled person can have cognition of danger objects during walking, which might not coincide with a non-disabled pers... [more] |
MVE2022-15 pp.26-31 |
SRW, SeMI, CNR (Joint) |
2021-11-26 09:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Terminal Location Estimation Using Delay Profile by Machine Learning with Hierarchical Clustering Jun Hirata, Keichi Mizutani, Hiroshi Harada (Kyoto Univ.) SRW2021-36 |
A location estimation method using machine learning with hierarchical clustering of delay profiles has been proposed as ... [more] |
SRW2021-36 pp.37-42 |
NC, MBE (Joint) |
2020-03-06 14:55 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
Efficient cluster mapping for conditions of weather based on combination of self-organizing map and hierarchical clustering Kazuki Osawa, Keiji Kamei (NIT), Masumi Ishikawa (KIT) NC2019-113 |
Recently, applications of Deep Learning(AI) for solving social problems have been frequently proposed. However, there ar... [more] |
NC2019-113 pp.213-218 |
PRMU |
2018-12-13 10:30 |
Miyagi |
|
Candidate Reduction Method Using Hierarchical Overlapping Clustering and Convolutional Neural Network for Fast Chinese Character Recognition Soichi Tashima, Hideaki Goto (Tohoku Univ.) PRMU2018-77 |
Along with the widespread of the mobile devices equipped with cameras, many applications using the camera function have ... [more] |
PRMU2018-77 pp.13-18 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Selective Inference for Feature Selection after Hierarchical Clustering Kenta Suzuki, Shigenori Inoue, Yuta Umezu (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN) IBISML2018-70 |
It is important to find characteristic features behind the data from, e.g., gene expression level or customer's purchase... [more] |
IBISML2018-70 pp.197-204 |
AI |
2018-08-27 14:15 |
Osaka |
|
Temporal Variability of Precipitation Events in Fukuoka, Kumamoto, and Kagoshima in Kyusyu Naoki Matsumoto, Kenta Ogino (Kumamoto Univ.), Ken-ichi Fukui (Osaka Univ.), Tomohiko Tomita (Kumamoto Univ.) AI2018-20 |
This work quantitatively evaluates the differences in rainfall events in Fukuoka, Kumamoto, and Kagoshima, which are lo... [more] |
AI2018-20 pp.39-44 |
PRMU |
2017-10-13 10:40 |
Kumamoto |
|
Multiple Alternative COALA Clusterings Daiki Yamazaki, Mineichi Kudo (Hokkaido Univ.) PRMU2017-86 |
COALA, which is based on a hierarchical clustering, is a methodology to explore the 2nd clustering result which is diffe... [more] |
PRMU2017-86 pp.133-138 |
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] |
2017-02-20 14:30 |
Hokkaido |
Hokkaido Univ. |
A Note on a Retrieval Method Using Hierarchical Structure of Web Video Groups
-- Effectiveness Evaluation through a Visualization Interface -- Daichi Takehara, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
We have previously proposed a Web video retrieval method using hierarchical structure of Web video groups, which are set... [more] |
|
IE, CS, IPSJ-AVM, ITE-BCT [detail] |
2016-12-09 13:00 |
Ishikawa |
|
Hierarchical Clustering based Noise Cluster Prediction for an Image Quality Assessment Seiji Inari, Yasuhiro Inazumi, Naho Ito, Yuukou Horita (Univ. of Toyama) CS2016-58 IE2016-94 |
Image quality Assessment (IQA) is necessary for applications that deal with many of images and videos. The goal of the I... [more] |
CS2016-58 IE2016-94 pp.87-90 |
IBISML |
2016-11-16 15:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
Optimization Method of Deep Ensemble Learning using Hierarchical Clustering Natsuki Koda, Sumio Watanabe (Tokyo Tech) IBISML2016-70 |
The method which is used for prediction by combining many different learning machines generated by using same training d... [more] |
IBISML2016-70 pp.171-176 |
MBE, NC (Joint) |
2015-11-20 15:20 |
Miyagi |
Tohoku University |
Muscle synergy recruitment during arm movements in patients with hemiparesis Toshihiro Kawase (Tokyo Inst. of Tech.), Atsuko Nishimura, Atsuko Nishimoto, Fumio Liu (Keio Univ.), Hiroyuki Kambara, Natsue Yoshimura, Yasuharu Koike (Tokyo Inst. of Tech.) NC2015-38 |
Previous studies have suggested that many muscles in the human body are controlled by combination of fewer muscle synerg... [more] |
NC2015-38 pp.13-18 |
PRMU, BioX |
2015-03-19 09:30 |
Kanagawa |
|
Extraction of Skilled Gaze Behaviors Based on a Comparison between Viewers in Dependency of Gaze Patterns on Video Scene
-- In the Case of Coaching in a Soccer Game -- Atsushi Iwatsuki, Takatsugu Hirayama, Junya Morita, Kenji Mase (Nagoya Univ.) BioX2014-39 PRMU2014-159 |
Eye gaze behavior depends on knowledge and experience of video viewer. In this paper, we propose a method to extract dis... [more] |
BioX2014-39 PRMU2014-159 pp.1-6 |
ASN |
2014-05-29 14:30 |
Tokyo |
Convention Hall, RCAST, The University of Tokyo |
[Poster Presentation]
Evaluation of Location Information-Based Cluster Head Selection Scheme for Autonomous Clustering in MANETs Yuto Aoki, Tomoyuki Ohta, Yoshiaki Kakuda (Hiroshima City Univ.) ASN2014-25 |
A Mobile Ad hoc NETwork(MANET) is a network that consists of mobile nodes without the aid of base stations.Autonomous cl... [more] |
ASN2014-25 pp.83-85 |
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] |
2014-02-17 14:45 |
Hokkaido |
Hokkaido Univ. |
A note on hierarchical structure extraction of Web video communities and its application to large-scale datasets Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a hierarchical structure extraction method of Web video communities which can be applied to la... [more] |
|
TL |
2013-02-22 14:45 |
Tokyo |
Institute for Civilization & Management |
Hierarchical phrase clustering based on different types of predicate argument relations Koji Kumanami, Kazuhiro Seki, Kuniaki Uehara (Kobe Univ.) TL2012-58 |
This paper proposes an approach to clustering synonymous phrases focusing on two types of predicate argument relations e... [more] |
TL2012-58 pp.49-54 |
PRMU, MVE, IPSJ-CVIM (Joint) [detail] |
2013-01-23 09:30 |
Kyoto |
|
Face model creation based on simultaneous execution of hierarchical training-set clustering and common local feature extraction Takayuki Fukui, Toshikazu Wada, Hiroshi Oike, Jun Sakata (Wakayama Univ.) PRMU2012-84 MVE2012-49 |
Face image retrieval based on local features has advantages of short elapsed time and robustness against the occlusions.... [more] |
PRMU2012-84 MVE2012-49 pp.23-28 |
NC, MBE (Joint) |
2012-12-12 10:15 |
Aichi |
Toyohashi University of Technology |
Classification Function of Hierarchy ART-Map Yusuke Okamoto, Toshimichi Saito (HU) NC2012-77 |
This paper presents a novel ART-Map with hierarchical structure and considers its classification function. Although exis... [more] |
NC2012-77 pp.19-23 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Nested-Hierarchical Dirichlet Process Mixtures for Simultaneous Document-Topic Clustering Shoji Tominaga, Masamichi Shimosaka, Rui Fukui, Tomomasa Sato (Univ. of Tokyo) IBISML2012-56 |
In this paper, we propose a nonparametric Bayesian framework for natural language processing (NLP). Our framework is bas... [more] |
IBISML2012-56 pp.157-164 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Recommendation with User Stereotyping Tatsuya Osame (Univ. of Tsukuba), Jun Sakuma (Univ. of Tsukuba/JST) IBISML2012-63 |
Prediction accuracy of recommendation algorithm with user-item rating matrices can be improved by making use of user att... [more] |
IBISML2012-63 pp.205-212 |