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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 14:50 |
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 |
| 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 |
| NS, RCS (Joint) |
2019-12-19 16:05 |
Tokushima | Tokushima Univ. | Optimal Relay Placement for Seafloor Optical Wireless Networks Yoshiaki Inoue (Osaka Univ.), Takahiro Kodama (Kagawa Univ.), Tomotaka Kimura (Doshisha Univ.) NS2019-147 RCS2019-250 |
For underwater communications, acoustic wireless channels have conventionally been regarded as main media because of the... [more] | NS2019-147 RCS2019-250 pp.69-74 |
| IBISML | 2018-03-06 10:25 |
Fukuoka | Nishijin Plaza, Kyushu University | Using local minima to accelerate Krawczyk-Hansen global optimization Hiroaki Takada (Univ. of Tokyo), Kazuki Yoshizoe (RIKEN), Daisuke Ishii (Univ. of Fukui), Koji Tsuda (Univ. of Tokyo) IBISML2017-99 |
Krawczyk-Hansen algorithm employs interval calculus and branch-and-bound search to solve a global optimization problem w... [more] | IBISML2017-99 pp.63-70 |
| 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 |
| NLP | 2016-03-25 11:05 |
Kyoto | Kyoto Sangyo Univ. | Deterministic Inductive Search for Solving Global Optimization Problems Hideo Kanemitsu (Hokkaido Univ of Edu) NLP2015-152 |
Inductive Search for solving global optimization problems attracted attention because of showing the best performance at... [more] | NLP2015-152 pp.57-61 |
| 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 |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Global Solvers for Variational Bayesian Low-rank Subspace Clustering Shinichi Nakajima (Nikon), Akiko Takeda (Univ. of Tokyo), S. Derin Babacan (Google), Masashi Sugiyama (Tokyo Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2013-37 |
Variational Bayesian (VB) learning, known to be a promising approximation method to Bayesian learning, is generally per... [more] |
IBISML2013-37 pp.7-14 |
| NS, CS, IN (Joint) |
2013-09-13 10:45 |
Miyagi | Tohoku Univ. Research Institute of Electrical Communication 2gokan | Study of network global optimization methods Shinya Fujioka, Katsuyoshi Suzuki, Kenji Fujihira, Tetsuya Uda, Yoshihiro Ashi (HITACHI) CS2013-38 |
Due to recent service diversification and traffic increase, network optimization is required for effective utilization o... [more] | CS2013-38 pp.49-54 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Clustering Method based on Global Optimization of Quadratic Forms Shunsuke Hirose (SAS Institute Japan) IBISML2012-41 |
This paper addresses the issue of constructing a clustering formulation by which we can derive a global optimum includin... [more] | IBISML2012-41 pp.53-58 |
| NLP | 2012-01-23 16:15 |
Fukushima | Aizu-keiko-do Hall | Global Optimization Method for a Multimodal Objective Function Whose Local Minimal Values have Almost Unimodal Sequence (2) Hideo Kanemitsu, Hideaki Konno (Hokkaido Univ. of Edu.) NLP2011-131 |
In global optimization problems of a univariate multimodal function on a finite searching interval, we introduce functio... [more] | NLP2011-131 pp.41-46 |
| MI | 2010-09-03 17:15 |
Saitama | A study on automated anatomical labeling to abdominal arteries in 3D abdominal CT images by using multil-class AdaBoost Bui Huy Hoang, Masahiro Oda (Meidai), Takayuki Kitasaka (Aikodai), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Meidai) MI2010-65 |
This paper presents an improved method of an automated anatomical labeling of arteries extracted from contrasted 3D CT ... [more] |
MI2010-65 pp.81-86 |
|
| NLP | 2010-01-21 10:30 |
Gifu | Global Optimization Method for a Multimodal Objective Function Whose Local Minimal Values have Almost Unimodal Sequence Hideo Kanemitsu, Hideaki Konno (Hokkaido Univ. of Edu.), Mineichi Kudo, Masaaki Miyakoshi (Hokkaido Univ.) NLP2009-141 |
In global optimization problems of a univariate multimodal function on a finite searching interval, we introduce functio... [more] | NLP2009-141 pp.7-12 |
|
| NLP | 2009-12-21 13:00 |
Iwate | Schrodinger-type Equation for Nonlinear Optimization and its Application to Global Optimization Hideki Satoh (Future Univ. Hakodate) NLP2009-130 |
A method has been developed for deriving the approximate global optimum of a nonlinear objective function. First, the o... [more] |
NLP2009-130 pp.21-26 |
|
| NLP | 2009-11-11 16:00 |
Kagoshima | Global Optimization Method for a Multimodal Function whose Local Minimal Value have an Unimodal Sequene and Widths of Unimodal Regions are Equal. Hideo Kanemitsu, Hideaki Konno (Hokkaido Univ. of Edu.), Mineichi Kudo, Masaaki Miyakoshi (Hokkaido Univ.) NLP2009-96 |
In global optimization problems of an univariate multimodal function, we define and investigate functions whose local mi... [more] | NLP2009-96 pp.79-84 |
|
| NC, NLP | 2009-07-14 10:00 |
Nara | NAIST | A competitive PSO based on evaluation with priority for finding plural solutions Yu Taguchi, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2009-29 NC2009-22 |
It is known that Particle Swarm Optimization (PSO) is a kind of evolutionary algorithm that can efficiently find the sol... [more] | NLP2009-29 NC2009-22 pp.83-86 |
| 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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| NC, NLP | 2008-06-27 10:30 |
Okinawa | University of the Ryukyus | Approximate Global Optimization Based on Wave Coefficient Equation for Wave Function Hideki Satoh (Future Univ.-Hakodate) NLP2008-8 |
A method was developed for deriving the approximate global optimum of a nonlinear objective function with multiple local... [more] | NLP2008-8 pp.1-6 |
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