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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 22件中 1~20件目  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2019-11-13
10:55
Ehime Ehime Prefecture Gender Equality Center VLD2019-31 DC2019-55 In testing of large scale integration (LSI) circuit, test escape detection using machine learning algorithms has been at... [more] VLD2019-31 DC2019-55
pp.13-18
HWS, VLD 2019-02-28
13:55
Okinawa Okinawa Ken Seinen Kaikan Model Compression for ECG Signals Outlier Detection Hardware trained by Sparse Robust Deep Autoencoder
Naoto Soga, Shimpei Sato, Hiroki Nakahara (Titech) VLD2018-114 HWS2018-77
In recent years, portable electrocardiographs and wearable devices have begun to spread so that electrocar- diogram (ECG... [more] VLD2018-114 HWS2018-77
pp.127-132
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2018-12-06
11:20
Hiroshima Satellite Campus Hiroshima Hardware implementation of ECG signals outlier detector trained by Sparse Robust Deep Autoencoder
Naoto Soga, Shimpei Sato, Hiroki Nakahara (Titech) RECONF2018-42
Current ECG outlier detection is rule-based, there are many false positives, and it is necessary to study a new outlier ... [more] RECONF2018-42
pp.45-50
SIS, IPSJ-AVM, ITE-3DIT [detail] 2018-06-07
14:20
Hokkaido Jozankei View Hotel Estimation of heart rate variability parameters using pulse waved measured by smartphone cameras
Yuichiro Tanaka, Akihiro Suzuki (Kyutech), Hirohisa Isogai (Kyushu Sangyo University), Masaaki Iwasaki (Bratech), Hakaru Tamukoh (Kyutech) SIS2018-4
Heart rate variability (HRV) parameters are used for analysing activations of autonomic nervous. Generally, the HRV para... [more] SIS2018-4
pp.35-38
PRMU, CNR 2017-02-19
11:20
Hokkaido   [Poster Presentation] Online algorithm of swallowing detection using close-range depth sensor
Tsubasa Takai, Tomoya Sakai, Misako Higashijima (Nagasaki Univ) PRMU2016-183 CNR2016-50
We are developing an online algorithm of detecting and counting swallowing motions from a depth image sequence
for cont... [more]
PRMU2016-183 CNR2016-50
pp.163-164
CPSY, RECONF, VLD, IPSJ-SLDM, IPSJ-ARC [detail] 2017-01-24
16:55
Kanagawa Hiyoshi Campus, Keio Univ. FPGA Implementation of Mahalanobis Distance-Based Outlier Detection for Streaming Data
Yuto Arai, Shin'ichi Wakabayashi, Shinobu Nagayama, Masato Inagi (Hiroshima City Univ.) VLD2016-91 CPSY2016-127 RECONF2016-72
This paper focuses on a method to detect outliers in streaming data, and proposes a fast FPGA implementation of outlier ... [more] VLD2016-91 CPSY2016-127 RECONF2016-72
pp.141-146
ICSS, IPSJ-SPT 2016-03-04
14:30
Kyoto Academic Center for Computing and Media Studies, Kyoto University An Autonomous DDoS Backscatter Detection System from Darknet Traffic
Yuki Ukawa, Jun Kitazono, Seiichi Ozawa (Kobe Univ.), Tao Ban, Junji Nakazato (NICT), Jumpei Shimamura (clwit) ICSS2015-67
This paper proposes an autonomous DDoS backscatter detection system from UDP darknet traffic. To identify DDoS backscatt... [more] ICSS2015-67
pp.123-128
VLD, CPSY, RECONF, IPSJ-SLDM, IPSJ-ARC [detail] 2016-01-19
14:20
Kanagawa Hiyoshi Campus, Keio University GPGPU Implementation of the MSD Method for Outlier Detection and Its Experimental Evaluation
Shotaro Asano, Masato Inagi, Shinobu Nagayama, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2015-83 CPSY2015-115 RECONF2015-65
In recent years,as the information,communication and sensing technologies advance,data streams have been continuously gr... [more] VLD2015-83 CPSY2015-115 RECONF2015-65
pp.37-42
MI 2012-07-20
14:10
Yamagata Yamagata Univ. Performance evaluation of non-rigid robust ICP with statistical shape model
Yuki Yaguchi, Takamichi Matsuno, Yoshihide Sawada, Hidekata Hontani (NIT) MI2012-35
In this paper, the results of quantitative performance analysis of a robust non-rigid ICP, which was proposed by the aut... [more] MI2012-35
pp.73-78
MI 2012-01-19
10:00
Okinawa   Robust Non-rigid Cluster-Based Registration with Confidence Self-Evaluation
Yoshihide Sawada, Hidekata Hontani (NIT) MI2011-77
In this article, we propose a robust non-rigid surface registration method, which registers a surface model to given ima... [more] MI2011-77
pp.1-6
IBISML 2011-11-09
15:45
Nara Nara Womens Univ. Relative Density-Ratio Estimation for Robust Distribution Comparison
Makoto Yamada (Tokyo Inst. of Tech.), Taiji Suzuki (Univ. of Tokyo), Takafumi Kanamori (Nagoya Univ.), Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-46
Divergence estimators based on direct approximation of density-ratios
without going through separate approximation of n... [more]
IBISML2011-46
pp.25-32
IBISML 2011-11-10
15:45
Nara Nara Womens Univ. A Parametric Programming Approach for Outlier Detection and Robust Learning for Classification and Regression
Ichiro Takeuchi (NIT) IBISML2011-81
We study outlier detection and robust learning problem for support vector machine (SVM). In the literature there are two... [more] IBISML2011-81
pp.263-269
MI 2011-07-13
10:30
Hokkaido Hokkaido University Robust Non-rigid surface registration with Confidence Self-Evaluation based on L1-Norm Regularization
Yoshihide Sawada, Takamichi Matsuno, Hidekata Hontani (NIT) MI2011-42
In this article, we propose a non-rigid surface registration method, which can not only estimate the con fidence of the ... [more] MI2011-42
pp.49-54
EA 2011-06-23
14:00
Hokkaido Health Sci. Univ. of Hokkaido Improvement of Noise Reduction Performance of ANC Systems with Online Secondary Path Modeling Technique using Two Secondary Path Models
Akihisa Oishi, Muhammad Tahir Akhtar, Wataru Mitsuhashi (UEC) EA2011-31
A new technique is proposed for a controlled injection of the noise to model the secondary acoustic path in the feedforw... [more] EA2011-31
pp.7-12
EA 2010-08-09
15:15
Miyagi Tohoku Univ. Scattered Speech Signal Detection by Principal Component Analysis for Spatial Power Spectrum
Michiaki Katoh, Yuya Sugimoto, Shoji Makino, Takeshi Yamada, Nobuhiko Kitawaki (Univ. of Tsukuba) EA2010-47
It is important for efficiently reviewing meeting speech archives to preliminarily and automatically detect "when, how a... [more] EA2010-47
pp.25-30
SR 2010-05-21
10:00
Kanagawa Keio Univ. (Tokyo) A Study on Detection Method of Low SNR Nodes in Cooperative Spectrum Sensing
Hung Vu Le, Mai Ohta, Kei Inage, Takeo Fujii (Univ. of Electro-Comm.), Kazushi Muraoka, Masayuki Ariyoshi (NEC) SR2010-8
In this paper, we have studied the methods of detecting low Signal to Noise Ratio (SNR) nodes by outlier detection in co... [more] SR2010-8
pp.43-48
NC, MBE
(Joint)
2008-03-13
16:00
Tokyo Tamagawa Univ A better estimation of ODP statistic in multiple simultaneous hypotheses testing
Hiroto Nomura, Shigeyuki Oba (NAIST), Shin Ishii (Kyoto Univ.) NC2007-174
Detection of differentially expressed (DE) genes between different conditions of sample cells is a basic and fundamental... [more] NC2007-174
pp.367-372
PRMU, IE 2008-03-11
11:00
Ishikawa  
() IE2007-313 PRMU2007-297
We present a new method for detecting incorrect feature point tracking. For 3-D reconstruction and motion segmentation,... [more] IE2007-313 PRMU2007-297
pp.327-334
DE 2007-07-03
15:50
Miyagi Akiu hot springs (Sendai) Detecting Outliers in High Dimensional Datasets with Examples
Yuan Li, Hiroyuki Kitagawa (Univ. of Tsukuba) DE2007-92
Many real applications of outlier detection can be utilized in various fields. Most of such applications process high di... [more] DE2007-92
pp.423-428
DE 2007-07-03
15:25
Miyagi Akiu hot springs (Sendai) Outlier Detection for Transaction Databases using Association Rules with High Confidences
Kazuyo Narita, Hiroyuki Kitagawa (Tsukuba Univ.) DE2007-88
Outlier Detection, a data mining technique to detect rare events, deviant objects, and exceptions from data, has been dr... [more] DE2007-88
pp.399-404
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