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Technical Committee on Media Experience and Virtual Environment (MVE) (Searched in: 2013)
Search Results: Keywords 'from:2014-01-23 to:2014-01-23'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 09:30 |
Osaka | Minimum Classification Error Training with Automatic Determination of Loss Smoothness Common to All Classes Kensuke Ota (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT)  PRMU2013-91 MVE2013-32 |
The smoothness of the smooth classification error count loss used in the Minimum Classification Error (MCE) training has... [more] | PRMU2013-91 MVE2013-32 pp.1-6 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 10:00 |
Osaka | Minimum Classification Error Training with Automatic Control of Loss Smoothness Hideaki Tanaka (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-92 MVE2013-33 |
The Minimum Classification Error (MCE) training has been successfully applied to various types of classifiers. However, ... [more] | PRMU2013-92 MVE2013-33 pp.7-12 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 10:30 |
Osaka | Multi-Class Support Vector Machine based on Minimum Classification Error Criterion Hisashi Uehara (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-93 MVE2013-34 |
Gradient-descent-based optimization methods used in Minimum Classification Error (MCE) training are not necessarily easi... [more] | PRMU2013-93 MVE2013-34 pp.13-18 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 11:00 |
Osaka | Large Geometric Margin Minimum Classification Error Training with Automatic Optimization Of The Number of Prototypes Yuji Takayama (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-94 MVE2013-35 |
Large Geometric Margin Minimum Classification Error (LGM-MCE) training, which adopts geometric-margin-based misclassific... [more] | PRMU2013-94 MVE2013-35 pp.19-24 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 09:30 |
Osaka | Auditory Space Integration Method Using Multiple Devices Yosuke Ino, Naoto Yoshida, Yukari Nakatani, Yuya Yoshida, Tomoko Yonezawa (Kansai Univ.) PRMU2013-95 MVE2013-36 |
In this paper, we propose an auditory reproduction method of virtual three-dimensional sounds in real space, especially ... [more] | PRMU2013-95 MVE2013-36 pp.41-44 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 10:00 |
Osaka | Pre-construction Overlay of Auditory Environment in Live Performance for Studio Practice. Keisuke Kimura, Yusuke Naka, Yuya Yoshida, Tomoko Yonezawa (Kansai Univ.) PRMU2013-96 MVE2013-37 |
In this study, we propose a virtual reconstruction system of auditory environments in live performance for band practice... [more] | PRMU2013-96 MVE2013-37 pp.45-48 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 10:30 |
Osaka | Rhythm and Music Generation from Performance Motion in Gravity Point of Upper Body Hiroki Kawaguchi, Arisa Hayashi, Yosuke Ino, Naoto Yoshida, Tomoko Yonezawa (Kansai Univ.) PRMU2013-97 MVE2013-38 |
In this paper, we introduce an investigation of relationship between the music tune and the movement of human body durin... [more] | PRMU2013-97 MVE2013-38 pp.49-52 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 11:00 |
Osaka | Multiple Auditory Communication using Parametric Speakers Riki Ishino, Yosuke Ino, Yukari Nakatani, Naoto Yoshida, Tomoko Yonezawa (Kansai Univ) PRMU2013-98 MVE2013-39 |
In this research, we propose one-to-many communication method using parametric speakers in a large space such as lecture... [more] | PRMU2013-98 MVE2013-39 pp.53-58 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 11:40 |
Osaka | [Special Talk]
Sympathy and Symbiosis of Events in Care and Nursing Service field Takuichi Nishimura, Kentaro Watanabe, Yoichi Motomura (AIST) PRMU2013-99 MVE2013-40 |
[more] | PRMU2013-99 MVE2013-40 pp.59-63 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 16:00 |
Osaka | Early recognition for improving classification performance in the initial stage of the sequences Jun Sugimoto, Yasukuni Mori, Ikuo Matsuba (Chiba Univ.) PRMU2013-100 MVE2013-41 |
[more] | PRMU2013-100 MVE2013-41 pp.113-118 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 16:30 |
Osaka | Facial Image Clustering by Evolutionary Distance Metric Learning Taishi Megano, Satoshi Ono (Kagoshima Univ.), Ken-ichi Fukui (Osaka Univ.), Kohki Ninomiya (Kagoshima Univ.), Masayuki Numao (Osaka Univ.), Shigeru Nakayama (Kagoshima Univ.) PRMU2013-101 MVE2013-42 |
In data mining and machine learning, the definition of distance between two data points substantially affects clustering... [more] | PRMU2013-101 MVE2013-42 pp.119-124 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 17:00 |
Osaka | 3D Global Image Registration Using Local Linear Property in Sparse Dictionary Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2013-102 MVE2013-43 |
In this paper, we propose a 3D global image registration of using a sparse dictionary. For global image registration, t... [more] |
PRMU2013-102 MVE2013-43 pp.125-130 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 17:30 |
Osaka | Improvement og a Distance between Concepts using a Weighted Combination of Image Instances with Their Text Tags Nozomi Masuhiro, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) PRMU2013-103 MVE2013-44 |
In recent years, methods for calculating semantic distance between various concepts from a set of tagged images have bee... [more] | PRMU2013-103 MVE2013-44 pp.131-136 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 16:00 |
Osaka | * Naoki Saga, Noriaki Muranaka, Yoshiko Hanada (Kansai Univ.) PRMU2013-104 MVE2013-45 |
(To be available after the conference date) [more] | PRMU2013-104 MVE2013-45 pp.137-140 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 16:30 |
Osaka | Physical Positioning Animation of Visual Symbols in Weblog Descriptions Misato Shiojiri, Yukari Nakatani, Tomoko Yonezawa (Kansai Univ.) PRMU2013-105 MVE2013-46 |
In this research, we propose a communication method of animating visual symbols, such as pictograms, based on story-tell... [more] | PRMU2013-105 MVE2013-46 pp.141-146 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-24 09:10 |
Osaka | Spotting recognition of performance motions of figure skating from videos of TV broadcasting Yuki Yokokura, Syunpei Torii, Yuki Nitsuma, Yuichi Yaguchi, Ryuichi Oka (Univ. of Aizu) PRMU2013-106 MVE2013-47 |
We report the result of spotting recognition of sport motions captured by moving cameras of broadcasting TV. We focused ... [more] | PRMU2013-106 MVE2013-47 pp.159-164 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-24 09:40 |
Osaka | An Estimation Method for "Yurumi" skill for Local Traditional Dance Miki Funayama(Kori), Koichi Matsuda (Iwate Prefectural Univ.), Kumiko Seike, Takaaki Kaiga (Warabi-za) PRMU2013-107 MVE2013-48 |
In this paper, we develop a method for estimating the "Yurumi", which is difficult to communicate to others. In local tr... [more] | PRMU2013-107 MVE2013-48 pp.165-170 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-24 10:10 |
Osaka | Classification and analysis for medical stuffs' trajectories in ER Yusuke Takahashi (Univ. of Tsukuba), Ikushi Yoda, Masaki Onishi (AIST), Kotaro Uchida, Jun Oda, Shiro Mishima, Tetsuo Yukioka (Tokyo Medical Univ.) PRMU2013-108 MVE2013-49 |
We have studied the method of classification and analysis for medical stuffs’ trajectories in real Emergency Room(ER). W... [more] | PRMU2013-108 MVE2013-49 pp.171-176 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-24 10:40 |
Osaka | Trend-Sensitive Hough Forests: Action Detection Method Using Voting Trends Kensho Hara, Takatsugu Hirayama, Kenji Mase (Nagoya Univ.) PRMU2013-109 MVE2013-50 |
Action detection using the Hough voting approach can achieve robustness to occlusions because the approach casts votes f... [more] | PRMU2013-109 MVE2013-50 pp.177-182 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-24 09:10 |
Osaka | A BoVW-based similar image Retrieval Supported by Salient Region Zijun Zou, Hisashi Koga (UEC) PRMU2013-110 MVE2013-51 |
The Bag of Visual Words(BoVW) model is prevailing in the area of image retrieval. However, because the BoVW model treats... [more] | PRMU2013-110 MVE2013-51 pp.183-188 |
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