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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IT, ISEC, RCC, WBS 2022-03-11
15:35
Online Online (Online) The explicit formula for the distributions of nonoverlapping words
Hayato Takahashi (Random Data Lab.) IT2021-123 ISEC2021-88 WBS2021-91 RCC2021-98
Generating functions of the distributions of number of occurences of words and
approximation of these distributions ar... [more]
IT2021-123 ISEC2021-88 WBS2021-91 RCC2021-98
pp.234-236
MI 2021-03-16
09:30
Online Online (Online) Statistical modeling of pulmonary vasculatures in CT volumes using a deep generative model
Yuki Saeki, Atshushi Saito (TUAT), Jean Cousty, Yukiko Kenmochi (LIGM/ UGE/ CNRS/ ESIEE Paris), Akinobu Shimizu (TUAT) MI2020-65
The purpose of this study is to build a statistical intensity model of pulmonary vasculatures in CT volumes. In this stu... [more] MI2020-65
pp.80-81
SIS, IPSJ-AVM, ITE-3DMT [detail] 2020-06-03
15:40
Online Online (Online) [Tutorial Lecture] Clarification of Statistical Properties of Phase-Only Correlation Functions Based on Directional Statistics
Shunsuke Yamaki (Tohoku Univ.) SIS2020-4
Phase-only correlation (POC) functions have been widely applied in many fields including signal matching, for evaluating... [more] SIS2020-4
pp.19-24
ISEC, IT, WBS 2020-03-10
13:50
Hyogo University of Hyogo (Hyogo)
(Cancelled but technical report was issued)
A Statistical Decision-Theoretic Approach for Measuring Privacy Risk in Information Disclosure Problem
Alisa Miyashita, Akira Kamatsuka (Waseda Univ.), Takahiro Yoshida (Yokohama College of Commerce), Toshiyasu Matsushima (Waseda Univ.) IT2019-104 ISEC2019-100 WBS2019-53
In this paper, we deal with the problem of database statistics publishing with privacy and utility guarantees. While var... [more] IT2019-104 ISEC2019-100 WBS2019-53
pp.95-100
IE, CS, IPSJ-AVM, ITE-BCT [detail] 2019-12-05
11:40
Iwate Aiina Center (Iwate) [Special Talk] Representation of moving-image's sparsity and its applications to adaptive moving-image restoration
Takahiro Saito (Kanagawa Univ.) CS2019-75 IE2019-55
This talk states that statistical sparsity of a moving-image sequence can be properly represented in the domain of the 3... [more] CS2019-75 IE2019-55
pp.29-34
CCS 2018-11-22
15:20
Hyogo Kobe Univ. (Hyogo) Has the arrowhead market achieved the efficient market ?
Mieko Tanaka-Yamawaki (Meiji Univ.), Masanori Yamanaka (Nihon Univ.) CCS2018-38
We are trying to reveal the nature of price fluctuation of the 2nd stage arrowhead market, by using the whole transactio... [more] CCS2018-38
pp.29-32
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) (Hokkaido) [Poster Presentation] A Note on the Estimation Method of Causality Effects based on Statistical Decision Theory
Shunsuke Horii, Tota Suko (Waseda Univ.) IBISML2018-97
In this paper, we deal with the problem of estimating the intervention effect in statistical causal analysis using struc... [more] IBISML2018-97
pp.397-402
NLP, CCS 2018-06-10
14:25
Kyoto Kyoto Terrsa (Kyoto) Statistical Distribution of Sub-second Price Fluctuations in the 2nd-stage Arrowhead Market
Mieko Tanaka-Yamawaki (Meiji Univ.), Masanori Yamanaka (Nihon Univ.), Yumihiko S. Ikura (Meiji Univ.) NLP2018-48 CCS2018-21
In order to investigate the nature of price fluctuation in the arrowhead market, we have analyzed price time series take... [more] NLP2018-48 CCS2018-21
pp.115-118
CCS, NLP 2016-06-13
13:50
Tokyo Kikai-Shinko-Kaikan Bldg. (Tokyo) Statistical Distribution of the Price Fluctuations in the Arrowhead Market -- Levy Distribution Reconsidered --
Mieko Tanaka-Yamawaki (ISM) NLP2016-24 CCS2016-7
The arrowhead system is a trading system within a millisecond, which was launched in January 2010 at Tokyo Stock Exchang... [more] NLP2016-24 CCS2016-7
pp.27-30
MI 2016-01-19
10:48
Okinawa Bunka Tenbusu Kan (Okinawa) Spatiotemporal Statistical Shape Model Construction Using Weighted PCA
Ryosuke Nakano, Saadia Binte Alam, Syoji Kobashi, Masakazu Morimoto, Satoru Aikawa (Univ of Hyogo), Akinobu Shimizu (Tokyo Univ of Agriculture and Technology) MI2015-77
Statistical shape model (SSM), which represents a static organ shape, has been applied to some medical image understandi... [more] MI2015-77
pp.25-29
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