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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 7件中 1~7件目  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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.)
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.)
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.)
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.)
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)
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
NLP 2012-07-06
10:45
Kagoshima Kagoshima Sangyou Hall Global Convergence of a Modified Multiplicative Update Algorithm for Convex Quadratic Programming Problems with Nonnegativity Constraints
Jiro Katayama, Norikazu Takahashi (Kyushu Univ.)
We consider problems of minimizing a convex quadratic function under
nonnegativity constraints. Sha {\it et al.} propos... [more]
NLP2012-50
pp.69-73
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.)
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
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