| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME |
2023-12-14
15:45 |
Niigata |
Niigata Univ.
(Primary: On-site, Secondary: Online) |
A Note on Extracting Regions Using Brightness Variations in Multi-Focus Images of Oleaginous Yeast
Seiya Ueda, Yuka Takahashi, Ryosuke Harakawa, Akihiro Nakamura, Yosuke Shida, Wataru Ogasawara, Masahiro Iwahashi (NUT) |
[more] |
ME2023-99
pp.21-24 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
13:45 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A Note on Tweet Clustering by Complementing Edges among Tweets
Shoji Takimura (Hokkaido Univ.), Ryosuke Harakawa (Nagaoka Univ. of Tech.), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2020-12 HI2020-12 ME2020-40 AIT2020-12
pp.61-64 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
14:55 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A Note on Estimation of Image Categories Using Brain Activity While Viewing Images Based on MVBGM-MS
Yusuke Akamatsu (Hokkaido Univ.), Ryosuke Harakawa (Nagaoka Univ. of Tech.), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents multi-view Bayesian generative model for multi-subject fMRI data (MVBGM-MS) for accurate estimation ... [more] |
MMS2020-16 HI2020-16 ME2020-44 AIT2020-16
pp.79-83 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
16:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Performance Improvement of Distress Detection in Subway Tunnels Using CNN
An Wang, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2019-14 HI2019-14 ME2019-36 AIT2019-14
pp.121-124 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
10:45 |
Hokkaido |
Hokkaido Univ. |
A note on retrieval of similar inspection records based on distance metric learning for supporting maintenance of subway tunnels
Susumu Genma, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Uinv) |
This paper proposes a method to retrieve similar inspection records using distance metric learning for supporting tunnel... [more] |
MMS2019-31 HI2019-31 ME2019-53 AIT2019-31
pp.287-290 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
11:00 |
Hokkaido |
Hokkaido Univ. |
A Note on Estimation of Rock Drilling Energy Using Tunnel Working Face Images
Kentaro Yamamoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In tunnel construction, it is important to grasp the geological condition of the rock to shorten the construction period... [more] |
MMS2019-32 HI2019-32 ME2019-54 AIT2019-32
pp.291-294 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
11:15 |
Hokkaido |
Hokkaido Univ. |
A note on detection of distress regions in subway tunnels from laser data
-- Visualization of distress regions with fully convolutional networks --
Akira Toyoda, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2019-33 HI2019-33 ME2019-55 AIT2019-33
pp.295-299 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
11:30 |
Hokkaido |
Hokkaido Univ. |
A Note on Popularity Prediction of Artists on Music Streaming Services Based on Network Analysis Using Heterogeneous Features
Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a novel method to predict popularity of artists on music streaming services based on network analysi... [more] |
MMS2019-34 HI2019-34 ME2019-56 AIT2019-34
pp.301-306 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
11:45 |
Hokkaido |
Hokkaido Univ. |
A Note on Twitter Followee Recommendation Based on Adaptive Integration of Multiple Classification Results
Shoji Takimura, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a recommendation method of users who are expected to be followed by a target user in Twitter. The pr... [more] |
MMS2019-35 HI2019-35 ME2019-57 AIT2019-35
pp.307-310 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
16:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Action Classification of River Users on CCTV Videos
Shun Kawamoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2019-47 HI2019-47 ME2019-69 AIT2019-47
pp.365-369 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
16:30 |
Hokkaido |
Hokkaido Univ. |
A Note on Anomaly Detection of River Users on CCTV Videos
Shun Kawamoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
[more] |
MMS2019-48 HI2019-48 ME2019-70 AIT2019-48
pp.371-374 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-15
15:00 |
Hokkaido |
Hokkaido Univ. |
A Note on Classification of Tunnel Working Face Images toward Estimation of Rock Elastic Wave Velocity
Shota Hamano, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Comprehension of rock elastic wave velocity is one of the most important issues regarding appropriate construction of ro... [more] |
MMS2018-18 HI2018-18 ME2018-18 AIT2018-18
pp.185-188 |
| CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [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] |
MMS2017-9 CE2017-9 HI2017-9 ME2017-33 AIT2017-9
pp.63-66 |
| HI, IEICE-IE, AIT, IEICE-ITS, ME, MMS, CE [detail] |
2016-02-22
14:45 |
Hokkaido |
Hokudai |
A Note on Hierarchical Topic Detection from Heterogeneous Social Media Contents
Daichi Takehara, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we present a method of hierarchical topic detection from heterogeneous social media contents.
Our method... [more] |
MMS2016-21 CE2016-21 HI2016-21 ME2016-54 AIT2016-21
pp.193-196 |
| HI, IEICE-IE, AIT, IEICE-ITS, ME, MMS, CE [detail] |
2016-02-22
15:15 |
Hokkaido |
Hokudai |
A Note on Detecting Time Series Variation of Hierarchical Structure of Web Video Groups
Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method that enables detection of time series variation of hierarchical structure of Web video grou... [more] |
MMS2016-23 CE2016-23 HI2016-23 ME2016-56 AIT2016-23
pp.201-204 |