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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] 2019-07-24
09:30
Kochi Kochi University of Technology Generation of Family Resemblance Inference Rules by Boid Annotation and Labeled-LDA -- A Machine Learning Approach to Integrate Inference Attack Analysis and Covert Channel Attack Analysis --
Kosuke Kurebayashi, Tetsuya Morizumi, Hirotsugu Kinoshita (KU) ISEC2019-42 SITE2019-36 BioX2019-34 HWS2019-37 ICSS2019-40 EMM2019-45
In this paper we propose a method for machine learning similar chains of words (word chains) similar to "rules for infer... [more] ISEC2019-42 SITE2019-36 BioX2019-34 HWS2019-37 ICSS2019-40 EMM2019-45
pp.243-249
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-15
13:00
Kagoshima Kagoshima University A Study on Network Tomography for ICN
Ryoichi Kawahara (Toyo Univ.), Rie Tagyo, Daisuke Ikegami (NTT) CQ2018-111
This paper reports a study on application of network tomography to Information-Centric Networking (ICN). When we receive... [more] CQ2018-111
pp.99-104
SC 2018-03-16
11:10
Tokyo NII Evaluation of Probabilistic Location Positioning Algorithm by Simulation considering Actual Environment
Ryoma Tabata, Sachio Saiki, Masahide Nakamura (Kobe Univ.) SC2017-31
We proposed probabilistic location information which can be converted from various absolute/relative coordinate system, ... [more] SC2017-31
pp.1-6
EMM, IE, LOIS, IEE-CMN, ITE-ME [detail] 2017-09-05
13:00
Kyoto Kyoto Univ. (Clock Tower Centennial Hall) Characteristic Evaluations of Probabilistic Location Information using Geographic Coordinate Information and Pass-by Information
Ryoma Tabata, Sachio Saiki, Masahide Nakamura (Kobe Univ.) LOIS2017-22 IE2017-43 EMM2017-51
In our previous study, we proposed probabilistic location information which expresses a location of a certain object at ... [more] LOIS2017-22 IE2017-43 EMM2017-51
pp.65-70
LOIS 2017-03-02
09:40
Okinawa N.Ohama Memorial Hall A Study of Probabilistic Position Information using Absolute and Relative Position Information
Ryoma Tabata, Arisa Hayashi, Sachio Saiki, Masahide Nakamura (Kobe Univ.) LOIS2016-64
Position information is classified into 2 categories: absolute position information and relative position information. T... [more] LOIS2016-64
pp.13-18
MI 2010-09-03
16:50
Saitama   Construction of statistical atlas in root of hepatic vascular and apply for automatic vessel identification
Motoi Kinishi (Ritsumeikan Univ.), Toshiyuki Okada, Masatoshi Hori (Osaka Univ.), Yen-Wei Chen (Ritsumeikan Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2010-64
It is important to classify vessels extracted in range of liver into the portal vein, hepatic vein or hepatic artery. So... [more] MI2010-64
pp.75-80
 Results 1 - 6 of 6  /   
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