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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2017-03-07
10:30
Tokyo Tokyo Institute of Technology Doubly Accelerated Stochastic Variance Reduced Gradient Method for Regularized Empirical Risk Minimization
Tomoya Murata, Taiji Suzuki (Tokyo Tech) IBISML2016-106
We develop a new stochastic gradient method for solving convex regularized empirical risk minimization problem in mini-b... [more] IBISML2016-106
pp.49-56
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
SRW 2013-10-21
09:30
Kanagawa NICT@YRP Study on Multiple-hop Wireless Body Area Network based on CSMA/CA of IEEE802.15.6
Pham Thanh Hiep (Yokohama National Univ.) SRW2013-28
Since the elderly population is increasing all over the world, health care market keeps growing and there is a need for ... [more] SRW2013-28
pp.1-6
SIS 2011-03-03
13:50
Tokyo Tokyo City University (Setagaya Campus) Single Image Super-Resolution Using Bilateral Back-Projection Using Local Variance and Inverse Filter
Hidenobu Hashikami, Hajime Nobuhara (Univ. of Tsukuba) SIS2010-59
Bilateral Back-Projection (BBP) is a single image super resolution method which has a drawback of excessive smoothing ef... [more] SIS2010-59
pp.31-36
EA 2010-12-10
13:45
Ibaraki Univ. of Tsukuba Diffuse noise robust multiple source localization based on noise reduction in covariance matrix domain
Nobutaka Ito (Univ. Tokyo), Emmanuel Vincent (INRIA Rennes), Nobutaka Ono (Univ. Tokyo), Remi Gribonval (INRIA Rennes), Shigeki Sagayama (Univ. Tokyo) EA2010-102
In this paper, we propose a method for estimating the azimuths of multiple sound sources accurately even in the presence... [more] EA2010-102
pp.31-36
ITE-ME, ITE-AIT, ITE-BCT, IE 2009-11-19
15:30
Fukuoka Kyushu Sangyo Univ. Noise Reduction for Color CCD Image Sensors Based on Constraint of Mean Color and Local Variance Estimation of Noise and Texture
Takayuki Hara, Haike Guan (RICOH) IE2009-105
A noise reduction algorithm is proposed for color image sensors like CCD. It has been difficult to reduce color noise at... [more] IE2009-105
pp.39-44
NC 2007-10-18
09:30
Miyagi Tohoku University Baysian-optimal image reconstruction for translational-symmetric filter
Satohiro Tajima (Univ. Tokyo), Masato Inoue (Waseda Univ.), Masato Okada (Univ. Tokyo) NC2007-33
Translational symmetric filter provides a foundation for various image processing. Given that filtered images are observ... [more] NC2007-33
pp.1-6
SP
Toyama Toyama Prefectural University Is the ability of identifying a given [a] sound as phoneme /a/ necessary for spoken language competence?
Nobuaki Minematsu, Tazuko Nishimura (Univ. of Tokyo), Kyoko Sakuraba (Kiyose Welfare Center), Satoshi Asakawa, Daisuke Saito (Univ. of Tokyo) SP2007-30
A language generally has several tens of phonemes. Acoustic substances of the phoneme depend upon its phonemic environme... [more] SP2007-30
pp.37-42
MoNA, IN
(Joint)
2005-11-18
09:50
Fukuoka Fukuoka Institute of Technology Subspace Based Blind Identification Algorithm using CGM
Nari Tanabe (Toyama National College of Tech.), Toshihiro Furukawa (Tokyo University of Science), Shigeo Tsujii (Inst. of Information Security)
We propose a subspace based blind identification algorithm using CGM (conjugate gradient method). The algorithm estimate... [more] MoMuC2005-69
pp.65-68
IE, SIP 2005-04-22
13:25
Tokyo   Minimum-Variance Pseudo-Unbiased Low-Rank Estimation -- A Generalization of Marquardt's Estimator for Ill-Conditioned Inverse Problems --
Jamal Elbadraoui, Isao Yamada (Tokyo Inst. of Tech.)
This paper presents a novel low-rank linear statistical estimator named minimum-variance pseudo-unbiased low-rank estima... [more] SIP2005-6 IE2005-6
pp.31-36
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