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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| QIT (2nd) |
2022-12-09 17:15 |
Kanagawa | Keio Univ. (Primary: On-site, Secondary: Online) |
On a proof of the Wigner-Araki-Yanase theorem for unbounded conserved observables Yui Kuramochi (Kyushu Univ.), Hiroyasu Tajima (UEC) |
Conservation laws of physical quantities are known to strongly restrict the class of implementable quantum measurements.... [more] | |
| MSS, CAS, IPSJ-AL [detail] | 2020-11-25 17:00 |
Online | Online | Distributed Algorithms based on Multiplicative Update Rules for Nonnegative Matrix Factorization Yohei Domen, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.)  CAS2020-24 MSS2020-16 |
Nonnegative matrix factorization (NMF) is a multivariate method that approximates a given nonnegative matrix by the prod... [more] | CAS2020-24 MSS2020-16 pp.28-33 |
| EA | 2019-12-13 13:25 |
Fukuoka | Kyushu Inst. Tech. | Rank-constrained spatial covariance matrix estimation based on multivariate complex generalized Gaussian distribution and its acceleration for blind speech extraction Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2019-78 |
In this paper, we generalize a generative model in rank-constrained spatial covariance matrix estimation that separates ... [more] | EA2019-78 pp.85-92 |
| IT | 2019-09-06 13:00 |
Oita | Yufuin Kenshujo, Nippon Bunri University | [Invited Talk]
Hadamard-type Matrices on Finite Fields and Some Open Problems Tetsuya Kojima (NIT, Tokyo College) IT2019-31 |
Hadamard matrix is defined as a square matrix where any components are $-1$ or $+1$, and where any pairs of rows are mut... [more] | IT2019-31 pp.29-34 |
| EA, SIP, SP | 2019-03-14 15:40 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | Estimation of rank-constrained spatial covariance model based on multivariate complex Student's t distribution for blind source separation Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa NCIT), Hiroshi Saruwatari (UTokyo) EA2018-128 SIP2018-134 SP2018-90 |
In this paper, we generalize a generative model in estimation of rank-constrained spatial covariance model that separate... [more] | EA2018-128 SIP2018-134 SP2018-90 pp.173-178 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2019-01-30 10:55 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | Proposal of reduction method of calculations by using Leading Zero in the Extended Euclidean Algorithm Masaki Ogino, Yuki Tanaka, Shugang Wei (Gunma Univ.) VLD2018-73 CPSY2018-83 RECONF2018-47 |
The modular multiplication inverse is used to generate the secret key of the public key cryptosystem from the difficulty... [more] | VLD2018-73 CPSY2018-83 RECONF2018-47 pp.7-12 |
| 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 |
| NLP | 2017-05-11 16:00 |
Okayama | Okayama University of Science | Multiplicative Update Rules for Nonnegative Matrix Factorization with Regularization Terms Akihiro Koso, Norikazu Takahashi (Okayama Univ.) NLP2017-13 |
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] | NLP2017-13 pp.63-68 |
| RCS, IT, SIP | 2016-01-18 10:35 |
Osaka | Kwansei Gakuin Univ. Osaka Umeda Campus | Multiplicative Update for Nonnegative Matrix Factorization based on Generalized Error Function and Its Global Convergence Masato Seki, Norikazu Takahashi (Okayama Univ.) IT2015-59 SIP2015-73 RCS2015-291 |
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] | IT2015-59 SIP2015-73 RCS2015-291 pp.67-72 |
| NLP | 2015-10-31 15:45 |
Okinawa | Nobumoto Ohama Memorial Hall | Chaos-based cryptography using augmented Lorenz equations and its synchronizability Kenichiro Cho, Takaya Miyano (Rits Univ) NLP2015-113 |
Augmented Lorenz equations are expressed as a star network of N Lorenz subsystems sharing the scalar variable X as the c... [more] | NLP2015-113 pp.35-38 |
| NLP, CAS | 2015-10-05 11:35 |
Hiroshima | Aster Plaza | Derivation of Multiplicative Update for Constrained Optimization Problems Related to NMF and Its Global Convergence Analysis Masato Seki, Norikazu Takahashi (Okayama Univ.) CAS2015-24 NLP2015-85 |
Nonnegative matrix factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] | CAS2015-24 NLP2015-85 pp.21-26 |
| CAS, SIP, MSS, VLD, SIS [detail] | 2014-07-11 16:40 |
Hokkaido | Hokkaido University | Derivation of New Update Rules based on KL, Gamma, Renyi Divergences for Nonnegative Matrix Factorization Masato Seki, Norikazu Takahashi (Okayama Univ) CAS2014-47 VLD2014-56 SIP2014-68 MSS2014-47 SIS2014-47 |
Three new update rules based on Kullback-Leibler divergence, gamma-divergence and Renyi divergence for nonnegative matr... [more] | CAS2014-47 VLD2014-56 SIP2014-68 MSS2014-47 SIS2014-47 pp.253-258 |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
A Study On Multiple Matrix Factorization Masahiro Kohjima, Kenji Esaki, Noriko Takaya, Hiroshi Sawada (NTT) IBISML2013-50 |
In this study, we propose new matrix factorization methods for multiple matrices. The research to analyze multiple data ... [more] | IBISML2013-50 pp.107-114 |
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Computationally Efficient Estimation of Squared-loss Mutual Information with Multiplicative Kernel Models Tomoya Sakai, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2013-53 |
emph{Squared-loss mutual information} (SMI) is a robust measure of statistical dependence between random variables. The... [more] |
IBISML2013-53 pp.131-137 |
| EMM | 2013-01-30 14:10 |
Miyagi | Tohoku Univ. | Theoretical Performance Analysis of Hybrid Additive-Multiplicative Watermarking Seigo Ikeda, Maki Yoshida, Toru Fujiwara (Osaka Univ.) EMM2012-104 |
An important issue of robust watermarking for image is to achieve a better tradeoff between the quality of watermarked i... [more] | EMM2012-104 pp.77-82 |
| NLP | 2011-06-30 16:05 |
Hokkaido | Shari-cho Kohminkan: Yme-hall Shiretoko | A Modified Multiplicative Update Algorithm for Nonnegative Matrix Factorization and its Global Convergence
-- The Case of Euclidean Distance Minimization -- Ryota Hibi, Norikazu Takahashi (Kyushu Univ.) NLP2011-32 |
Nonnegative matrix factorization (NMF) is to approximate a given large nonnegative matrix by the product of two small n... [more] |
NLP2011-32 pp.41-46 |
| MBE | 2009-07-11 16:45 |
Tokushima | The University of Tokushima | Improvement of Signal-to-noise Ratio Using Neural Networks Yongjian Chen, Masatake Akutagawa, Yohsuke Kinouchi (Univ. of Tokushima.) MBE2009-37 |
In this paper, a novel filter is proposed by applying neural network (NN) ensemble where the noisy input signal and the ... [more] | MBE2009-37 pp.101-106 |
| COMP | 2008-03-10 16:45 |
Kanagawa | Multiplicative Weight Update Algorithm for Metrical Task Systems Shingo Kawabata, Eiji Takimoto (Tohoku Univ.) COMP2007-66 |
Multiplicative weight update algorithms work very well for various online prediction problems. We apply the method to a... [more] |
COMP2007-66 pp.75-82 |
|
| MBE | 2007-07-20 10:25 |
Tokushima | Improvement of signal-to-noise ratio using neural networks Yongjian Chen, Masatake Akutagawa (Univ. of Tokushima), Qinyu Zhang (Harbin Inst.of Tech.), Yohsuke Kinouchi (Univ. of Tokushima) MBE2007-21 |
A novel filter is proposed by applying back propagation neural network (BPNN) ensemble where the noisy signal and the re... [more] | MBE2007-21 pp.5-8 |
|
| CS, CAS, SIP | 2005-03-15 09:30 |
Okayama | Okayama Prefectural University | On Separation via State Estimation Approach of Mixed Damping Signals with Noises Takehiro Nagayama, Masaaki Amano (Meiji Univ.) |
[more] | CAS2004-101 SIP2004-144 CS2004-237 pp.25-30 |
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