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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, BioX | 2017-03-20 10:25 |
Aichi | Crowd analysis using graph cut with time series Shunya Ueta (Univ. of Tsukuba), Masaki Onishi (AIST), Tetsuya Sakurai (Univ. of Tsukuba)  BioX2016-38 PRMU2016-201 |
In the field of crowd movie analysis, proposed method which use surveillance camera for crowd behavior analysis in many ... [more] | BioX2016-38 PRMU2016-201 pp.29-34 |
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| NC, NLP (Joint) |
2017-01-26 16:25 |
Fukuoka | Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. | Estimation of respiratory state using machine learning Keisuke Matsuoka, Jiro Okuda (Kyoto Sangyo Univ.) NC2016-53 |
Recent studies have tried to extract information on respiration from photoplethysmographic (PPG) signals. It is well kno... [more] | NC2016-53 pp.31-36 |
| HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi | Kochi City Culture Plaza (CUL-PORT) | Conversational group detection based on social context using graph clustering algorithm Shoichi Inaba, Yoshimitsu Aoki (Keio Univ.) |
With the development of single person analysis in computer vision, social group analysis has received growing attention ... [more] | |
| NLC | 2016-09-09 10:00 |
Tokyo | Convention Room AP Shibuya-Dogenzaka (Tokyo) | Masahide Naemura, Miyazaki Masaru, Urakawa Makoto, Fujisawa Hiroshi (NHK) NLC2016-21 |
We are researching fusion of broadcasting and network communication that can utilizes TV program information to living s... [more] | NLC2016-21 pp.51-56 |
| SIS | 2016-03-11 14:30 |
Tokyo | Tokyo City Univ. | Evaluation of Task Clustering Algorithm in Heterogeneous Distributed System Shuya Hashimoto (Tokyo Univ. of Infomasion Sciences), Hidehiro Kanemitsu (Waseda Univ.), Kazuo Hajikano (Daiichi Institute of Technology), Hojun Moon, Moo Wan Kim (Tokyo Univ. of Infomasion Sciences) SIS2015-72 |
In this paper, the evaluation result of a task clustering heuristic algorithm proposed for large number of heterogeneous... [more] | SIS2015-72 pp.141-145 |
| MSS | 2016-03-03 15:20 |
Yamaguchi | KAIKYO MESSE SHIMONOSEKI | A Construction Method of Efficient Wireless LAN using Node Clustering Shuhei Matsumura, Hiroshi Matsuno (Yamaguchi Univ.) MSS2015-74 |
We presented a method to construct a network with the appropriate number of channels. This method divides a network to c... [more] | MSS2015-74 pp.37-40 |
| SS, MSS | 2016-01-26 13:20 |
Ishikawa | Shiinoki-Geihin-Kan | Implementation of Parallel Distributed Graph Clustering Algorithm on Apache Spark with Node Partition and Aggregation in Large-Scale Graphs Riku Asayama, Kohei Sakurai, Satoshi Yamane (Kanazawa Univ.) MSS2015-60 SS2015-69 |
In this paper, we propose the rapid clustering method with the large-scaled graph structured data. Our approach is a dat... [more] | MSS2015-60 SS2015-69 pp.141-146 |
| 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 |
| MSS | 2015-03-06 13:30 |
Ishikawa | IT Business Plaza Musashi | Parallel Distributed Clustering Algorithm with Node Partition and Aggregation in Large-Scale Graphs Riku Asayama, Kohei Sakurai, Satoshi Yamane (Kanazawa Univ.) MSS2014-101 |
In this paper, we propose the rapid clustering method with the large-scaled graph structured data. Our approach is a dat... [more] | MSS2014-101 pp.59-64 |
| HCS | 2015-01-30 15:00 |
Kagawa | Bay Resort Hotel Shodoshima (Shodoshima, Kagaewa Pref.) | [Poster Presentation]
Design of Parameters for Spatial Layout of Multiple Avatars Showing Communication Status Yukari Nakatani, Tomoko Yonezawa (Kansai Univ.) HCS2014-88 |
In this research, we propose a spatial arrangement of multiple agents in a Web screen in order to show the current statu... [more] | HCS2014-88 pp.85-90 |
| MI | 2014-06-24 10:05 |
Fukuoka | Lecture Hall, Building B of Basic Sciences, Kyushu University | Improved Interactive Medical Image Segmentation using Graph Cut and Superpixels Titinunt Kitrungrotsakul, Chunhua Dong, Xian-Hua Han, Yen-Wei Chen (Ritsumeikan Univ.) MI2014-25 |
Interactive image segmentation is a useful method for selecting object of interest in image. The variations of intensity... [more] | MI2014-25 pp.17-20 |
| NC, MBE (Joint) |
2014-03-18 15:20 |
Tokyo | Tamagawa University | Functional Brain Network using Synchronization Likelihood(SL) constructed from EEGs Taichi Toh, Risa Urata, Toshimasa Yamazaki (Kyusyu Inst. of Tech.), Yoshiyuki Kuroiwa (Teikyo Univ.) MBE2013-145 |
Functional Brain Network (FBN) could visualize the connectivity between brain regions in brain activity associated with ... [more] | MBE2013-145 pp.167-170 |
| VLD | 2014-03-04 15:05 |
Okinawa | Okinawa Seinen Kaikan | Exposure source optimization by clustering for lithography Masashi Tawada, Masao Yanagisawa, Nozomu Togawa (Waseda Univ.), Takaki Hashimoto, Keishi Sakanushi, Shigeki Nojima, Toshiya Kotani (Toshiba) VLD2013-152 |
In lithography, we generate patterns on a wafer through a photomask, where patterns generated have to be close to ideal... [more] |
VLD2013-152 pp.105-110 |
| PRMU | 2013-03-15 10:00 |
Tokyo | Object Discovery from Images with Multiple Objects based on Co-occurring Graphs Takayuki Nanbu, Hisashi Koga, Toshinori Watanabe (Univ. of Electro- Comm.) PRMU2012-209 |
Although the BoF (Bag-of-Features) model has succeeded in automatic object discovery, it still has some drawbacks: For e... [more] | PRMU2012-209 pp.169-174 |
|
| IN | 2013-01-25 10:25 |
Kagoshima | Kagoshima-Ken-Sangyo-Kaikan | Robustness of autonomously formed cluster structure under drastic changes of MANET topology Kenta Masuda (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) IN2012-144 |
We have previously proposed an autonomous decentralized clustering mechanism for Mobile Ad hoc Networks (MANET) and eval... [more] | IN2012-144 pp.33-38 |
| IBISML | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Local Semi-supervised Gaussian Process Regression based-on Clustering Xinlu Guo (Kobe Univ.), Yoshiaki Yasumura (SIT), Kuniaki Uehara (Kobe Univ.) IBISML2012-86 |
The majority of the existing graph-based semi-supervised learning algorithms have been applied to the classification tas... [more] | IBISML2012-86 pp.373-380 |
| NS, IN (Joint) |
2012-03-08 11:00 |
Miyazaki | Miyazaki Seagia | Adaptability Evaluation of Autonomously Organized Cluster Structure to Dynamic Environment Kenta Masuda (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) IN2011-148 |
We have already proposed an autonomous decentralized clustering mechanism for clustering of ad hoc networks and evaluate... [more] | IN2011-148 pp.67-72 |
| CAS | 2012-01-19 09:50 |
Fukuoka | Kyushu Univ. | On graphs with maximum clustering coefficient in 2-switch neighborhood Tatsuya Fukami, Norikazu Takahashi (Kyushu Univ.) CAS2011-87 |
Given a simple undirected connected graph, let us consider the problem to find a graph such that it has the same degree ... [more] | CAS2011-87 pp.13-18 |
| AI | 2011-11-21 11:00 |
Fukuoka | A Working Pattern Extraction Method From Low Level PC Usage Logs Ryohei Saito (HH), Tetsuji Kuboyama (Gakushuin Univ.), Yuta Yamakawa (HH), Hiroshi Yasuda (Tokyo Denki Univ.) AI2011-19 |
This paper proposes a novel method for analyzing PC usage logs aiming to nd working patterns and behaviors of employee... [more] |
AI2011-19 pp.13-18 |
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| IN | 2011-01-20 11:35 |
Osaka | Osaka Univ. | Location Based Clustering in P2P Multimedia Streaming Junki Ohmura, Kazuya Takada, Shigeki Goto (Waseda Univ.) IN2010-124 |
As broadband communications have penetrated to ordinary home users,many video delivery services,including YouTube, becam... [more] | IN2010-124 pp.37-42 |
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