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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2023-03-17 14:30 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Global Convergence Analysis of Distributed HALS Algorithm for Nonnegative Matrix Factorization Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.)  MSS2022-104 NLP2022-149 |
As a fast computational method for Nonnegative Matrix Factorization (NMF), the Hierarchical Alternating Least Squares ... [more] |
MSS2022-104 NLP2022-149 pp.198-203 |
| NLP, MSS | 2023-03-17 14:50 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Reformulation of Optimization Problem in Randomized NMF and Proposal of A Novel Iterative Update Algorithm Takao Masuda, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2022-105 NLP2022-150 |
As an approach to efficiently perform large-scale Nonnegative Matrix Factorization (NMF), a randomized NMF was recently ... [more] | MSS2022-105 NLP2022-150 pp.204-209 |
| NLP | 2022-08-02 10:15 |
Online | Online | A new method for the system of nonlinear equations
-- Newton-Raphson method and W4 method -- Hirotada Okawa (WIAS) NLP2022-29 |
There is no successful single method that can solve any system of nonlinear equations so far. Although the Newton-Raphs... [more] | NLP2022-29 pp.15-19 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 14:15 |
Online | Online | Modification of Optimization Problem in Randomized NMF and Design of Optimization Method based on HALS Algorithm Takao Masuda, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2021-4 IBISML2021-4 |
Nonnegative matrix factorization (NMF) is the process of decomposing a given nonnegative matrix into two nonnegative fac... [more] | NC2021-4 IBISML2021-4 pp.23-30 |
| NLP | 2017-07-13 13:00 |
Okinawa | Miyako Island Marine Terminal | A Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence Satoshi Nakatsu, Norikazu Takahashi (Okayama Univ.) NLP2017-31 |
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] | NLP2017-31 pp.17-22 |
| IT, SIP, RCS | 2017-01-20 10:50 |
Osaka | Osaka City Univ. | A New Iterative Method for Nonnegative Matrix Factorization with Sparsity and Smoothness and Its Global Convergence Takumi Kimura, Norikazu Takahashi (Okayama Univ.) IT2016-93 SIP2016-131 RCS2016-283 |
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] | IT2016-93 SIP2016-131 RCS2016-283 pp.273-278 |
| 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 |
| 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 |
| CAS, NLP | 2009-01-23 13:00 |
Miyazaki | On the Global Convergence of a Decomposition Method for General Convex Quadratic Programming Problems Yuta Kobayashi, Norikazu Takahashi (Kyushu Univ.) CAS2008-92 NLP2008-122 |
A convex quadratic programming (QP) problem, which plays important roles in many fields, is an optimization problem to m... [more] | CAS2008-92 NLP2008-122 pp.159-163 |
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| NLP | 2007-11-22 11:55 |
Fukuoka | On Global Convergence of Decomposition Methods for Support Vector Regression Jun Guo (Kyushu Univ./JSPS), Norikazu Takahashi (Kyushu Univ.) NLP2007-96 |
To solve the large size quadratic programming (QP) problems arising in support vector regression (SVR) efficiently, deco... [more] | NLP2007-96 pp.7-12 |
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