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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CNR, BioX |
2022-03-03 13:00 |
Online |
Online |
FMR estimation of facial recognition systems using extreme value theory Hikotaro Suzuki, Mitsutoshi Himaga (JAISA) BioX2021-46 CNR2021-27 |
The accuracy of biometric systems has been improved dramatically in the past decade. As the number of samples required f... [more] |
BioX2021-46 CNR2021-27 pp.1-6 |
CNR, BioX |
2022-03-03 13:30 |
Online |
Online |
Evaluation of Biometric Accuracy with Small Samples Using Extreme Value Distribution Tomoaki Matsunami, Shigefumi Yamada (JAISA) BioX2021-47 CNR2021-28 |
The accuracy of recent biometrics technology has been improved, and it is necessary to valuate at very small False Match... [more] |
BioX2021-47 CNR2021-28 pp.7-12 |
SDM, ICD, ITE-IST [detail] |
2019-08-08 10:00 |
Hokkaido |
Hokkaido Univ., Graduate School /Faculty of Information Science and |
Application of Extreme Value Theory to Statistical Analyses of Worst Case SRAM Data Retention Voltage Tomoko Mizutani, Kiyoshi Takeuchi, Takuya Saraya, Masaharu Kobayashi, Toshiro Hiramoto (Univ. of Tokyo) SDM2019-41 ICD2019-6 |
The extreme value theory was applied to the estimation of the maximum SRAM data retention voltage (DRV). It was found th... [more] |
SDM2019-41 ICD2019-6 pp.27-30 |
RCS, NS (Joint) |
2013-12-19 09:25 |
Kagawa |
Sunport Hall Takamatsu |
Extreme value analysis for large scale outages of telecommunication networks Hiroyuki Funakoshi, Tatsuya Matsukawa (NTT) NS2013-136 |
In telecommunication networks, it is difficult to predict the probability of occurrence of large-scale outages because t... [more] |
NS2013-136 pp.13-18 |
IN, NS (Joint) |
2009-03-04 09:00 |
Okinawa |
Okinawa-Zanpamisaki Royal Hotel |
Analysis of threshold network model based on extreme value theory and universal power laws Akihiro Fujihara (Kwansei Gakuin Univ.), Masato Uchida (Kyushu Inst. of Tech.), Hiroyoshi Miwa (Kwansei Gakuin Univ./NICT) IN2008-176 |
There is a threshold model known as one of important stochastic
models to understand the structure of complex networks... [more] |
IN2008-176 pp.261-266 |
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