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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 36 of 36 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
IBISML 2010-11-05
15:30
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Efficient Computation of Normalized Maximum Likelihood Coding for Gaussian Mixtures with Its Applications to Model Selection
So Hirai, Kenji Yamanishi (Tokyo Univ.) IBISML2010-103
We are concerned with the issue of efficient computation of normalized maximum likelihood (NML) code-lengths for Gaussia... [more] IBISML2010-103
pp.327-333
DE 2010-08-04
16:40
Tokyo Aoyama Gakuin University A Generalized Indexing Method for Gaussian Distributions
Kazuki Kodama, Yoshiharu Ishikawa (Nagoya Univ.) DE2010-24
When we estimate the locations of moving objects based on sensors and movement histories, the imprecise locations are of... [more] DE2010-24
pp.59-64
VLD 2010-03-10
16:15
Okinawa   An efficient technique to search failure-areas for yield estimation via partial hyperspherephere
Takanori Date, Shiho Hagiwara, Kazuya Masu (Tokyo Inst. of Tech.), Takashi Sato (Kyoto Univ.) VLD2009-105
Monte Carlo simulations have been widely adopted for analyzing circuit properties, such as SRAM yield,
under strong inf... [more]
VLD2009-105
pp.37-42
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
PRMU, DE 2008-06-20
16:30
Hokkaido Otaru-Shimin-Kaikan Evaluation of Spatial Query Processing Methods Based on Imprecise Locations
Yuichi Iijima, Yoshiharu Ishikawa (Nagoya Univ.) DE2008-27 PRMU2008-45
In sensor environments and movement robot applications, the position of an object is often imprecise. In this paper, we ... [more] DE2008-27 PRMU2008-45
pp.151-156
NC 2008-05-23
15:20
Ishikawa Kanazawa Univ Proposal of a nonlinear echo canceller that uses Gaussian process
Jyunichiro Tomita, Yuzo Hirai (Tsukuba Univ.) NC2008-7
Gaussian process (GP) is a process where the joint distribution over variables is specified completely by the second-ord... [more] NC2008-7
pp.35-40
DC, CPSY, IPSJ-SLDM, IPSJ-EMB 2008-03-28
10:50
Kagoshima   On Distribution Functions of Delays and Slews for Statistical Timing Analysis
Shingo Takahashi, Shuji Tsukiyama (Chuo Univ.) DC2007-107 CPSY2007-103
In order to improve the performance of the current statistical timing analysis, slew distributions must take into accoun... [more] DC2007-107 CPSY2007-103
pp.139-144
NC, MBE
(Joint)
2008-03-12
16:30
Tokyo Tamagawa Univ An Extension of CCCP Algorithm for Bethe Free Energy
Yu Nishiyama, Sumio Watanabe (Tokyo Inst. of Tech.) NC2007-126
Belief Propagation (BP) is an efficient algorithm for computing marginal probabilities of a high-dimensional probability... [more] NC2007-126
pp.85-90
NC, MBE
(Joint)
2008-03-12
17:10
Tokyo Tamagawa Univ The Dependence of EM Algorithm on Initial Conditions
Xin Lu, Kiyoshi Nishiyama (Iwate Univ.) NC2007-128
The EM algorithm is considered as a methodology that the problem of incomplete data is solved by the framework of comple... [more] NC2007-128
pp.97-102
CS, IE, ITE-BCT, IPSJ-AVM 2006-12-15
15:40
Aichi Nagoya Univ. Efficient Golomb coding for Gaussian sources
Seishi Takamura, Yoshiyuki Yashima (NTT)
Gaussian sources are observed in vast areas. Contrarily to what happens for the geometric and double-sided geometric di... [more] CS2006-69 IE2006-137
pp.59-64
ICD, SIP, IE, IPSJ-SLDM 2006-10-27
09:40
Miyagi   A Performance Evaluation of a Statistical Static Timing Analysis Using Gaussian Distribution
Wataru Shimoyama, Yusuke Takagi, Shuji Tsukiyama (Chuo Univ.)
The conventional design method to deal with variability is considering the worst-case corners and setting margins. Sinc... [more] SIP2006-103 ICD2006-129 IE2006-81
pp.13-18
IN, RCS
(Joint)
2006-05-19
11:40
Tokyo   Analysis of the Threshold Network Model Leading to Scale-Free Propoerties
Hiroyoshi Miwa (Kwansei Gakuin Univ.), Naoki Masuda (RIKEN), Norio Konno (Yokohama National Univ.) IN2006-13
Many real-world networks have the scale-free property, which means that the vertex degree distribution follows the power... [more] IN2006-13
pp.73-78
NC 2006-03-17
15:45
Tokyo Tamagawa University Representation of probability density for a nonmonotonic sequential assosiative memory and normality of crosstalk noise
Satoshi Araki, Masaki Kawamura (Yamaguchi Univ.)
We discuss probability density function of internal states for a nonmonotonic sequential associative memory model.
The ... [more]
NC2005-173
pp.131-136
SANE 2005-03-05
09:25
Overseas KARI, Daejeon, Korea On the forest biomass and the order parameter of K-distribution in high-resolution airborne polarimetric SAR data
Kazuo Ouchi (Kochi Univ. of Tech.), Haipeng Wang (Kochi Univ. Tech.), Manabu Watanabe, Masanobu Shimada, Takeo Tadono, Ake Rosenqvist (JAXA), Shakil A. Romshoo (ERI), Masayuki Matsuoka (RIHN), Seiho Uratsuka (NICT)
Preliminary results are presented on the relation between the forest biomass and the order parameter of the K-distributi... [more] SANE2004-117
pp.7-12
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