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 |