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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU | 2018-12-14 16:20 |
Miyagi | Correcting Outputs of Ensemble LSTMs by CRF for Robust Activity Recognition Haruka Abe, Yuta Hayakawa (Tokyo Tech), Takuya Hino, Motohide Sugihara, Hiroki Ikeya (KOMATSU), Masamichi Shimosaka (Tokyo Tech)  PRMU2018-94 |
Recognizing the activities of the construction vehicle helps to assess the skill of the workers or give a technical guid... [more] | PRMU2018-94 pp.103-108 |
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| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Time-varying activity intensity estimation with low-rank bilinear model Keisuke Maeda, Masamichi Shimosaka (UTokyo), Kota Tsubouchi (Yahoo!JAPAN) IBISML2014-84 |
Human's activity intensity estimation leads to many applications, for example HEMS energy saving, health index monitor... [more] |
IBISML2014-84 pp.365-371 |
| 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 | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Simplified WLAN Localization Deployment by Learning from Route Annotation Ryoma Kawajiri, Masamichi Shimosaka, Rui Fukui, Tomomasa Sato (the Univ. of Tokyo) IBISML2012-88 |
Recently wireless LAN (WLAN) localization systems are gaining popularity in pervasive computing, machine learning and se... [more] | IBISML2012-88 pp.387-394 |
| PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-03 11:00 |
Tokyo | Multiple-person activity recognition with group relationships Shigeyuki Odashima, Masamichi Shimosaka, Takuhiro Kaneko, Rui Fukui, Tomomasa Sato (The Univ. of Tokyo) PRMU2012-44 IBISML2012-27 |
In this paper, we propose an activity localization method with contextual information of multiple person relationships. ... [more] |
PRMU2012-44 IBISML2012-27 pp.127-132 |
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| PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-03 15:30 |
Tokyo | Group Activity Recognition by CRFs with Multiscale Dependency Takuhiro Kaneko, Masamichi Shimosaka, Shigeyuki Odashima, Rui Fukui, Tomomasa Sato (The Univ. of Tokyo) PRMU2012-49 IBISML2012-32 |
Group activity recognition has gained attention in computer vision community. Examples of group activities are queueing ... [more] | PRMU2012-49 IBISML2012-32 pp.185-190 |
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| CNR | 2012-02-27 16:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg | Mobile robot navigation framework based on selection of heterogeneous distributed sensor Hiroshi Noguchi, Hidekazu Kiyota, Rui Fukui, Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato (Tokyo Univ.) CNR2011-37 |
We constructed navigation framework for mobile robots to use heterogeneous distributed sensor. The framework can find an... [more] | CNR2011-37 pp.35-40 |
| PRMU, FM | 2011-12-16 16:30 |
Shizuoka | Hamamatsu Campus, Shizuoka Univ. | Nonparametric Bayesian State Estimation by Detecting Change Points and Sharing Segments on Time Series Data Masamichi Shimosaka, Yuichi Moriya, Rui Fukui, Tomomasa Sato (Univ. of Tokyo) PRMU2011-145 |
In this paper, we propose a novel framework for estimating state spaces where the size is unknown. The proposed framewor... [more] | PRMU2011-145 pp.119-124 |
| PRMU | 2009-09-01 10:15 |
Miyagi | Tohoku Univ. | The Optimization of Sensor Arrangement for Activity Recognition by Flow-based Simulation Ryo Urushibata, Taketoshi Mori, Masamichi Shimosaka, Hiroshi Noguchi, Tomomasa Sato (Univ. of Tokyo.) PRMU2009-69 |
This paper deals with the optimization of sensor arrangement for activity recognition of the people living alone with py... [more] | PRMU2009-69 pp.115-120 |
| PRMU | 2009-06-18 13:55 |
Hokkaido | Hokkaido Univ. | Object Detection System using Region-Level Layered Background Subtraction and Feature Point Based Tracking Shigeyuki Odashima, Taketoshi Mori, Masamichi Shimosaka, Hiroshi Noguchi, Tomomasa Sato (The Univ. of Tokyo) PRMU2009-45 |
This paper proposes an object detection method in indoor environments. With object placement and removal, the input imag... [more] | PRMU2009-45 pp.31-36 |
| PRMU | 2009-06-18 15:35 |
Hokkaido | Hokkaido Univ. | Action Recognition Using Real-Time Markerless Motion Capture Atsunori Moteki, Masamichi Shimosaka, Tomomasa Sato, Taketoshi Mori (Univ. of Tokyo) |
[more] | |
| PRMU | 2009-01-12 13:30 |
Tokyo | NII | Pose Estimation of Multiple People using Contour Features from Multiple Laser Range Finders Takashi Matsumoto, Masamichi Shimosaka, Hiroshi Noguchi, Tomomasa Sato, Taketoshi Mori (The Univ. of Tokyo) PRMU2008-200 |
Laser based tracking systems have been developed for mobile robotics and intelligent surveillance areas. Existing system... [more] | PRMU2008-200 pp.65-70 |
| PRMU, HIP | 2007-09-04 16:00 |
Aichi | Nagoya Univ. | * , Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato (Univ. of Tokyo) PRMU2007-84 HIP2007-93 |
[more] | PRMU2007-84 HIP2007-93 pp.231-238 |
| PRMU, HIP | 2007-02-22 16:15 |
Kanagawa | Online Action Recognition with Structured Boosting Yu Nejigane, Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato (Tokyo Univ.) |
In this paper, we propose a robust online action recognition method based on boosted sequential classification. Our meth... [more] | PRMU2006-216 HIP2006-109 pp.59-64 |
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| PRMU, HIP | 2006-01-20 15:10 |
Osaka | Osaka Univ. | Internet image retrieval using relationship with words in acceptation text and image features Yoshiko Suemasu, Taketoshi Mori, Masamichi Shimosaka, Hiroshi Noguchi, Tomomasa Sato (Univ. of Tokyo) |
(To be available after the conference date) [more] | PRMU2005-166 HIP2005-136 pp.99-104 |
| PRMU | 2004-11-18 10:30 |
Fukui | unknown Masamichi Shimosaka, Taketoshi Mori, Tatsuya Harada, Tomomasa Sato (Tokyo Univ.) |
A novel kernel computation algorithm between time-series human motion data that can be used for online action recognitio... [more] | PRMU2004-95 pp.13-18 |
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