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 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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, 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
 Results 1 - 9 of 9  /   
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