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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| VLD | 2017-03-02 16:15 |
Okinawa | Okinawa Seinen Kaikan | An algorithm to compute covariance for finding distribution of the maximum Daiki Azuma, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.), Takashi Kambe (Kinki Univ.)  VLD2016-121 |
In statistical approaches such as statistical static timing analysis, the distribution of the maximum of plural distribu... [more] | VLD2016-121 pp.103-108 |
| VLD | 2016-03-02 13:00 |
Okinawa | Okinawa Seinen Kaikan | An Algorithm for Reducing Components of a Gaussian Mixture Model 1
-- A Partitioning Method of Components -- Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.) VLD2015-138 |
In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful too... [more] | VLD2015-138 pp.155-160 |
| VLD | 2016-03-02 13:25 |
Okinawa | Okinawa Seinen Kaikan | An Algorithm for Reducing Components of a Gaussian Mixture Model 2
-- A Method for Calculating Sensitivities -- Daiki Azuma, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.), Takashi Kambe (Kinki Univ.) VLD2015-139 |
In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful too... [more] | VLD2015-139 pp.161-166 |
| CPSY, IPSJ-EMB, IPSJ-SLDM, DC [detail] | 2015-03-06 16:40 |
Kagoshima | An Algorithm to Reduce Components of a Gaussian Mixture Model Considering Distribution Shape of Each Component Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.) CPSY2014-170 DC2014-96 |
In statistical methods, such as statistical static timing analysis (S-STA) algorithm, summation and minimum or maximum o... [more] | CPSY2014-170 DC2014-96 pp.49-54 |
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| COMP | 2014-10-08 13:30 |
Tokyo | Chuo University | [Invited Talk]
Statistical Maximum and Minimum Operations for Gaussian Mixture Model and Their Applications Shuji Tsukiyama (Chuo Univ.) COMP2014-28 |
Due to the progress of micro-technology, process variability is increasing in not only inter-die but also intra-die, and... [more] | COMP2014-28 pp.17-18 |
| VLD | 2011-03-03 15:40 |
Okinawa | Okinawaken-Danjo-Kyodo-Sankaku Center | A Study for Evaluation of Statistical Maximum Operations for Gaussian Mixture Models Tamotsu Ishihara, Masahiro Fukui (Ritsumeikan Univ.), Shuji Tsukiyama (Chuo Univ.) VLD2010-134 |
In order to improve the accuracy of statistical static timing analysis, a method using Gaussian mixture models have been... [more] | VLD2010-134 pp.105-110 |
| VLD | 2011-03-03 16:05 |
Okinawa | Okinawaken-Danjo-Kyodo-Sankaku Center | Performance Evaluation of Statistical Static Timing Analysis Using Gaussian Mixture Models Tomoyuki Fujimori, Shuji Tsukiyama (Chuo Univ), Masahiro Fukui (Ritsumeikan Univ) VLD2010-135 |
With the progress of micro-technology, the within die process variability is increasing, and the statistical static timi... [more] | VLD2010-135 pp.111-116 |
| VLD | 2010-03-11 13:05 |
Okinawa | On an Accuracy Improvement of a Statistical Timing Analysis Using Gaussian Mixture Models Atsutaka Obata, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.) VLD2009-111 |
In order to represent a non-Gaussian distribution resulting from statistical maximum operation accurately in the statist... [more] | VLD2009-111 pp.73-78 |
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