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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE, NC (Joint) |
2020-12-18 17:30 |
Online | Online | Parameter inference using Approximate Bayesian Computations for the intermittent control model on postural sway data: A comparison between healthy people and patients with Parkinson's disease Yasuyuki Suzuki, Akihiro Nakamura (Osaka Univ.), Takuyuki Endo, Saburo Sakoda (Osaka Toneyama Medical Center), Taishin Nomura (Osaka Univ.)  MBE2020-25 |
Feedback control by the central nervous system is indispensable for stabilizing upright posture during quiet standing. W... [more] | MBE2020-25 pp.25-30 |
| SIS | 2013-03-08 11:00 |
Shizuoka | Create Hamamatsu | [Tutorial Lecture]
Recent Trend of Particle Filtering in Visual Tracking Kazuhiko Kawamoto (Chiba Univ.) SIS2012-65 |
Particle filters was proposed almost 20 years ago for nonlinear and non-Gaussian time series analysis with sequential Mo... [more] | SIS2012-65 pp.109-114 |
| IBISML | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Calculation Method for WAIC Using Sequential Importance Sampling Takushi Miki, Sumio Watanabe (Tokyo Tech) IBISML2012-70 |
The bayes generalization loss represents the distance of the predictive distribution and the true distribution. It is u... [more] |
IBISML2012-70 pp.259-263 |
| NC, MBE (Joint) |
2011-03-08 15:25 |
Tokyo | Tamagawa University | Sequential Learning of EEG:SSVEP Four-class Classification:Sequential Monte Carlo Implemention Shu Shigezumi, Hideyuki Hara (Waseda Univ.), Atsushi Takemoto (Kyoto Univ.), Yumi Dobashi (Waseda Univ.), Katsuki Nakamura (Kyoto Univ.), Takashi Matsumoto (Waseda Univ.) MBE2010-125 |
An attempt was made to perform a sequential learning of SSVEP four class classification problem. As opposed to the batch... [more] | MBE2010-125 pp.125-130 |
| IT | 2010-11-30 15:20 |
Nagano | [Invited Talk]
Particle Filter and MCMC for Communication Science Kazuhiro Otsuka (NTT, NTT Comm Sci Labs) IT2010-52 |
In recent years, automatic analysis of human conversation scenes has been acknowledged as an emerging research field. Au... [more] | IT2010-52 pp.9-18 |
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| MBE | 2010-10-14 14:45 |
Osaka | Osaka Electro-Communication University | Sequential Error Rate Evaluation of EEG:SSVEP Binary Classification Problem
-- Bayesian Sequential Learning with Sequential Monte Carlo method -- Hideyuki Hara (Waseda Univ.), Atsushi Takemoto (Kyoto Univ.), Yumi Dobashi (Waseda Univ.), Katsuki Nakamura (Kyoto Univ.), Takashi Matsumoto (Waseda Univ.) MBE2010-31 |
An attempt was made to evaluate the \textit{Sequential Error Rate} (SER) of an SSVEP classification problem with a Bayes... [more] | MBE2010-31 pp.17-22 |
| ITE-HI, ITE-AIT, ITE-ME, IE, ITS | 2008-02-18 15:20 |
Hokkaido | Graduate School of Information Science and Technology Hokkaido Univ | Extraction of Movable Region Based on Sequential Bayesian Filtering with Positional Information Prochazka Zdenek (ONCT) ITS2007-57 IE2007-240 |
In this research a new method for segmentation of movable region from image sequences showing road in front of moving ... [more] |
ITS2007-57 IE2007-240 pp.127-132 |
| PRMU | 2007-12-14 10:00 |
Hyogo | Kobe Univ. | Visual-based Verification by Signature Tracking
-- Tracking the pen tip by Sequential Monte Carlo -- Kumiko Yasuda (Waseda Univ.), Daigo Muramatsu (Seikei Univ.), Atsushi Matsui (STRL NHK), Takashi Matsumoto (Waseda Univ.) PRMU2007-145 |
This paper proposes visual-based online signature verification by tracking the signer's pen tip. Input module of the sys... [more] | PRMU2007-145 pp.53-58 |
| PRMU | 2006-03-16 14:55 |
Fukuoka | Kyushu Univ. | Bayesian Face Recognition using a Sequential Monte Carlo Method Atsushi Matsui, Simon Clippingdale, Mahito Fujii, Nobuyuki Yagi (NHK) |
We introduce a sequential learning algorithm for Bayesian probability distributions describing faces in video input imag... [more] | PRMU2005-250 pp.119-124 |
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