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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 125 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] 2019-07-24
14:10
Kochi Kochi University of Technology Anonymous Public-Key Certificates based on Elliptic Curve
Kazuomi Oishi (SIST) ISEC2019-53 SITE2019-47 BioX2019-45 HWS2019-48 ICSS2019-51 EMM2019-56
Anonymous public-key certificates can guarantee anonymity of the certificate users and are useful for applications in wh... [more] ISEC2019-53 SITE2019-47 BioX2019-45 HWS2019-48 ICSS2019-51 EMM2019-56
pp.347-352
NLP, NC
(Joint)
2019-01-24
15:20
Hokkaido The Centennial Hall, Hokkaido Univ. A New Method for Deriving Multiplicative Update Rules for NMF with Error Functions Containing Logarithm
Akihiro Koso, Norikazu Takahashi (Okayama Univ.) NLP2018-122
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix X into two nonnegative... [more] NLP2018-122
pp.137-142
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Variational Approximation Accuracy in Non-negative Matrix Factorization
Naoki Hayashi (MSI) IBISML2018-51
The asymptotic behavior of the variational free energy of the non-negative matrix factorization (NMF) has been elucidate... [more] IBISML2018-51
pp.53-60
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Asymptotic Evaluation of Classification in the Presence of Generalized Label Noise
Goki Yasuda, Tota Suko, Manabu Kobayashi, Toshiyasu Matsushima (Waseda Univ.) IBISML2018-84
In classification problem, there are many cases where noise is added to the label. Learning in these cases is called lea... [more] IBISML2018-84
pp.301-306
RECONF 2018-05-25
15:35
Tokyo GATE CITY OHSAKI
Takumi Kudo, Kodai Ueyoshi, Kota Ando, Ryota Uematsu, Kazutoshi Hirose, Masayuki Ikebe, Tetsuya Asai, Masato Motomura, Shinya Takamaeda (Hokkaido Univ.) RECONF2018-6
(To be available after the conference date) [more] RECONF2018-6
pp.27-32
ISEC 2018-05-16
10:00
Tokyo Ookayama Campus, Tokyo Institute of Technology Hardness of Discrete Logarithm Problem Based on New Operation on Elliptic Curve over Finite Field and New Digital Signature
Masaaki Shirase (FUN) ISEC2018-1
In the previous works, a new operation on elliptic curve over finite field $E(Fp)$, the Me operation $oplus$, is defined... [more] ISEC2018-1
pp.1-8
MBE, NC
(Joint)
2018-03-14
10:25
Tokyo Kikai-Shinko-Kaikan Bldg. Experimental Analysis of Real Log Canonical Threshold in Stochastic Matrix Factorization using Hamiltonian Monte Carlo Method
Naoki Hayashi, Sumio Watanabe (Tokyo Tech) NC2017-89
For the real log canonical threshold (RLCT) that gives the Bayesian generalization error of stochastic matrix factorizat... [more] NC2017-89
pp.127-131
CCS 2017-11-09
14:30
Osaka Osaka Univ. Cooperation between noise and neural activity in the cortical network model
Hisashi Kada (Ritsumeikan Univ.), Jun-nosuke Teramae (Osaka University), Isao T. Tokuda (Ritsumeikan Univ.) CCS2017-23
In cortical networks, spontaneous firing activities characterized by irregulars and asynchronous neuronal firings have b... [more] CCS2017-23
pp.15-19
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo [Poster Presentation] Real Log Canonical Threshold of Stochastic Matrix Factorization and its Application to Bayesian Learning
Naoki Hayashi, Sumio Watanabe (TokyoTech) IBISML2017-38
In stochastic matrix factorization (SMF), we deal with problems that we predict an observed stochastic matrix as a produ... [more] IBISML2017-38
pp.23-30
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-15
10:30
Tokyo   Experimental Analysis of Variational Bayesian Method in Model Selection of Gaussian Mixture Model by Singular Bayesian Information Criterion
Naoki Hayashi (Tokyo Tech), Fumito Nakamura (Bosch) PRMU2017-41 IBISML2017-13
A Gaussian mixture model (GMM) is a statistical model used in various fields such a pattern recognition, thus, it is imp... [more] PRMU2017-41 IBISML2017-13
pp.19-26
RECONF, CPSY, DC, IPSJ-ARC
(Joint) [detail]
2017-05-23
17:30
Hokkaido Noboribetsu-Onsen Dai-ichi-Takimoto-Kan CPSY2017-8 DC2017-8 (To be available after the conference date) [more] CPSY2017-8 DC2017-8
pp.39-44
MBE, NC
(Joint)
2017-03-13
10:00
Tokyo Kikai-Shinko-Kaikan Bldg. Experimental Analysis of Real Log Canonical Threshold in Non-negative Matrix Factorization
Naoki Hayashi, Sumio Watanabe (Tokyo Tech) NC2016-78
For the real log canonical threshold ( RLCT ) that gives the Bayesian generalization error of non-negative matrix factor... [more] NC2016-78
pp.85-90
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2017-03-10
14:50
Okinawa Kumejima Island Double-precision floating-point logarithm calculation method for FPGA
Yasufumi Fujiwara, Kazuyoshi Takagi, Naofumi Takagi (Kyoto Univ.) CPSY2016-156 DC2016-102
Floating-point arithmetic standard IEEE 754 was revised in 2008, and it presents 36 functions that should be calculated ... [more] CPSY2016-156 DC2016-102
pp.363-367
NLP 2016-12-13
09:30
Aichi Chukyo Univ. Frequency singularity in nonlinear heart rate dynamics
Junichiro Hayano, Emi Yuda, Hiroki Ogasawara, Yutaka Yoshida (Nagoya City Univ.) NLP2016-92
In healthy humans, 24-hr fluctuation of heart rate shows down-sloping linear log-log spectrum with a slope of -1, indica... [more] NLP2016-92
pp.45-48
EMCJ, WPT, PEM
(Joint)
2016-11-24
11:30
Tokyo Kikai-Shinko-Kaikan Bldg. electrode structure of the log-periodic dipole antenna arrays for sensitive optical electric field sensors
Akihisa Tsuchiya, Naomi Hidaka, Hideaki Sugama (KITC), Takeshi Ishida (Noise Lab.), Osamu Hashimoto (Aoyama Gakuin Univ.)
An evaluation of the sensitivity characteristics of our improved optical electric field sensor that incorporates our log... [more]
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. [Poster Presentation] A real log canonical threshold of nonnegative matrix factorization and its application to Bayesian learning
Naoki Hayashi, Sumio Watanabe (Tokyo Tech) IBISML2016-76
In nonnegative matrix factorization(NMF),we deal with problems that we predict a data matrix as a product of two
nonne... [more]
IBISML2016-76
pp.215-220
OFT, OCS, IEE-CMN, ITE-BCT [detail] 2016-11-10
16:50
Nagasaki Nagasaki Shoko Kaigi Sho LLR generation of 4D modulation based on inverse code
Tatsuya Nakamura, Emmanuel Le Taillandier de Gabory, Hidemi Noguchi, Jun'ichi Abe (NEC) OCS2016-59
Exponentially increasing internet traffic requires optimal exploitation of spectral resource of optical network. Therefo... [more] OCS2016-59
pp.13-18
CCS 2016-11-04
10:25
Kyoto Kyoto Sangyo Univ. (Musubiwaza Bldg.) Suppression of Pathological Synchronization in Cortical Networks
Isao Tokuda, Hisashi Kada (Ritsumeikan Univ.), Jun-nosuke Teramae (Osaka Univ.) CCS2016-30
In cortical networks, it has been known that neurons generate self-sustained low-frequency firings even in the absence o... [more] CCS2016-30
pp.5-8
AP 2016-08-22
14:25
Nagasaki Nagasaki Univ. Study on Miniaturization of a Log-Periodic Dipole Antenna
Yuki Tobita, Keisuke Noguchi (KIT) AP2016-74
We are studying a log-periodic dipole antenna (LPDA) with wideband characteristics. In order to design a compact LPDA, a... [more] AP2016-74
pp.37-42
SP, IPSJ-SLP
(Joint)
2016-07-30
09:00
Yamagata Takinoyu Hotel Discriminative Training Method of Recurrent Neural Network Language Models for Speech Recognition
Yuuki Tachioka (Mitsubishi Electric), Shinji Watanabe (MERL) SP2016-26
A recurrent neural network language model (RNN-LM) can consider a longer word context than an n-gram language model, and... [more] SP2016-26
pp.33-38
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