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 Results 21 - 39 of 39 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM
(Joint) [detail]
2011-11-29
15:05
Miyazaki NewWelCity Miyazaki Multi-core LSI Lifetime Extension by NBTI-Recovery-based Self-healing
Takashi Matsumoto, Hiroaki Makino (Kyoto Univ.), Kazutoshi Kobayashi (Kyoto Inst. Tech.), Hidetoshi Onodera (Kyoto Univ.) CPM2011-160 ICD2011-92
Designing reliable systrems has become more difficult in recent years. Negative-Bias-Temperature-In-stability (NBTI) is ... [more] CPM2011-160 ICD2011-92
pp.59-63
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
ICD 2010-12-16
15:10
Tokyo RCAST, Univ. of Tokyo [Poster Presentation] A 65nm CMOS High-Speed and High-Fidelity NBTI Recovery Sensor
Takashi Matsumoto, Hiroaki Makino (Kyoto Univ.), Kazutoshi Kobayashi (Kyoto Inst. Tech.), Hidetoshi Onodera (Kyoto Univ.) ICD2010-104
We proposed an NBTI-recovery sensor with 400ns measurement delay. This sensor contains many unit cells. One unit cell in... [more] ICD2010-104
pp.55-58
ICD 2010-12-16
15:10
Tokyo RCAST, Univ. of Tokyo [Poster Presentation] A Charge Sampling Filter with Second Order Sinc for SDR Receiver
Kenji Minefuji, Takashi Matsumoto (Waseda Univ.) ICD2010-106
A software-defined radio receiver is designed from a low power ADC perspective,exploiting programmability of window inte... [more] ICD2010-106
pp.65-70
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
PRMU, HIP 2010-03-16
12:20
Kagoshima Kagoshima Univ. Improvement of Accuracy in Bayesian Hidden Markov Model Approach for Sports Event Detection
Tomohiro Yazaki (Waseda Univ.), Toshie Misu (NHK), Yohei Nakada, Shigeru Motoi, Go Kobayashi, Takashi Matsumoto (Waseda Univ.), Nobuyuki Yagi (NHK) PRMU2009-301 HIP2009-186
The problem of detecting the occurrence of target events in a given data sequence can be found in many fields , such as ... [more] PRMU2009-301 HIP2009-186
pp.401-406
US 2009-08-28
16:35
Tokyo   Noncontact ultrasonic thickness gauging for steel structures in ports -- field test at Tanoura wharf --
Natsuki Yoshizumi, Sayuri Matsumoto, Kageyoshi Katakura (PARI), Takashi Matsumoto, Harumi Fukuda, Hideki Kume (MLIT) US2009-37
We develop a novel thickness measurement system for steel structures in ports. The system is based on ultrasonic multip... [more] US2009-37
pp.43-48
PRMU 2009-03-13
10:45
Miyagi Tohoku Institute of Technology [Special Talk] Implementations of Bayesian Learning -- MCMC/SMC/DPEM --
Takashi Matsumoto (Waseda Univ.) PRMU2008-246
Several implementation schemes are reviewed for Bayesian learning. [more] PRMU2008-246
pp.39-42
PRMU 2009-03-13
15:50
Miyagi Tohoku Institute of Technology Semi-supervised learning scheme using Dirichlet process EM-algorithm
Tomoaki Kimura, Yohei Nakada (Waseda Univ.), Arnaud Doucet (ISM), Takashi Matsumoto (Waseda Univ.) PRMU2008-251
Learning with dataset which contains both labeled data and unlabeled data
is often called semi-supervised learning pro... [more]
PRMU2008-251
pp.77-82
PRMU 2009-02-19
11:00
Tokyo Univ. of Tokyo (IIS) Face Detection with Dirichlet Process EM
Yu Goto, Tomoaki Kimura (Waseda Univ.), Atsushi Matsui (NHK), Yohei Nakada, Takashi Matsumoto (Waseda Univ.) PRMU2008-214
This paper proposes a nonparametric Bayesian scheme to improve computational efficiency of probabilistic face detection.... [more] PRMU2008-214
pp.37-42
PRMU 2009-02-20
10:00
Tokyo Univ. of Tokyo (IIS) Maximum A Posteriori Estimation For Dirichlet Process Language Models
Takaaki Tokuda, Tomoaki Kimura, Yohei Nakada, Takashi Matsumoto (Waseda Univ.) PRMU2008-226
In recent years, Mixture distributions with Dirichlet Process (DP) prior have been successfully applied to many practica... [more] PRMU2008-226
pp.109-114
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
CAS 2008-02-01
15:30
Okinawa   Design of Howling Suppressors using Adaptive Notch Filters
Takashi Matsumoto, Masayoshi Aoshima, Eiji Watanabe (Shibaura Inst. of Tech.), Akinori Nishihara (Tokyo Inst. of Tech.) CAS2007-105
When it is desired to suppress periodic signals whose frequencies are
unknown such as howling signals, one solution is ... [more]
CAS2007-105
pp.67-72
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 2007-10-26
09:30
Miyagi Hotel Matsushima Daikansou Sequential Monte Carlo Object Tracking with a Histogram-based Observation Model
Yuichi Miyajima (Waseda Univ.), Atsushi Matsui (NHK/Waseda Univ.), Yohei Nakada, Takashi Matsumoto (Waseda Univ.) PRMU2007-105
 [more] PRMU2007-105
pp.75-80
NLP 2006-11-14
11:15
Okayama   An Evaluation Method of Learning Effects with Fractal Analyses of EEG
Takashi Matsumoto, Masahiro Nakagawa (Nagaoka Univ. Tech.)
 [more] NLP2006-82
pp.27-32
PRMU, MI 2006-05-25
11:30
Aichi Aichi Prefectural University Robust Image Matching Based on Integrated EMDs Applied to Segmented Image Features
Hajimu Kawakami, Takashi Matsumoto (Ryukoku Univ.)
 [more] PRMU2006-10 MI2006-10
pp.53-58
ISEC, LOIS 2005-11-14
16:10
Fukuoka Kitakyushu Science and Research Park Study of System Application for MUGI Hardware
Takashi Matsumoto, Toru Owada, Shigeki Taira (Hitachi), Yoshifumi Kawamura (Renesas)
 [more] ISEC2005-96 OIS2005-59
pp.45-52
AP 2005-04-21
13:25
Shiga Ritsumeikan Univ. An Experimental Study on the Accuracy of the Location Measurement Method for Wireless ID-tag Systems using Three Built-in Antennas and Antenna Direction Sensors
Takashi Matsumoto, Hiroshi Yoshida, Ken-ichi Asanuma, Tadahiko Maeda (Ritsumeikan Univ.)
 [more] AP2005-4
pp.19-24
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