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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 64  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS, NLP 2022-06-09
17:15
Osaka
(Primary: On-site, Secondary: Online)
Visualization of decisions from CNN models trained on OpenStreetMap images labeled based on traffic accident data
Kaito Arase, Zhijian Wu, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2022-10 CCS2022-10
The authors have recently conducted training of Convolutional Neural Networks (CNNs) on OpenStreetMap images each of whi... [more] NLP2022-10 CCS2022-10
pp.46-51
CCS, NLP 2022-06-09
17:40
Osaka
(Primary: On-site, Secondary: Online)
Speeding up an algorithm for searching generalized Moore graphs
Taku Hirayama, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2022-11 CCS2022-11
Computer networks in data centers are modeled as undirected regular graphs, and the average shortest path length (ASPL) ... [more] NLP2022-11 CCS2022-11
pp.52-57
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2021-06-28
13:50
Online Online Simplification of Average Consensus Algorithm in Distributed HALS Algorithm for NMF
Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2021-3 IBISML2021-3
Nonnegative Matrix Factorization (NMF) is the process of approximating a given nonnegative matrix by the product of two ... [more] NC2021-3 IBISML2021-3
pp.15-22
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, MSS
(Joint)
2021-03-15
13:00
Online Online Proposal of Novel Distributed Learning Algorithms for Multi-Neural Networks
Kazuaki Harada, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2020-58
A method for multiple neural networks (NNs) with the same structure to learn multiple sets of training data collected at... [more] NLP2020-58
pp.17-22
NLP, MSS
(Joint)
2021-03-15
13:25
Online Online Graph Structure Optimization Using Genetic Algorithms
Hiroki Tajiri, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2020-59
There are many large and complex networks in the real world. These networks are modeled as graphs and analyzed using a v... [more] NLP2020-59
pp.23-28
MSS, CAS, IPSJ-AL [detail] 2020-11-25
16:35
Online Online Generalization of Pseudo-Decentralized Continuous-Time Algorithms for Estimation of Algebraic Connectivity
Katsuki Shimada, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) CAS2020-23 MSS2020-15
Development of decentralized algorithms for multiple agents in a network to estimate its connectivity is a fundamental a... [more] CAS2020-23 MSS2020-15
pp.22-27
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
NLP 2020-05-15
13:00
Online Online A Genetic Algorithm for Minimizing Average Shortest Path Length of Regular Graphs
Reiji Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2020-3
For the problem of finding a regular graph with given order and degree that minimizes the average shortest path length, ... [more] NLP2020-3
pp.11-16
NLP 2020-05-15
13:25
Online Online Design of a Distributed Algorithm for Principal Component Analysis based on Power Method and Average Consensus
Mutsuki Oura, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2020-4
Principal component analysis is one of the most important methods of multivariate analysis, and has been applied in a wi... [more] NLP2020-4
pp.17-22
MSS, NLP
(Joint)
2020-03-09
09:50
Aichi  
(Cancelled but technical report was issued)
A Distributed Algorithm for Solving Sandberg-Willson Equations Based on Sequential Minimization of Convex Quadratic Functions
Masaaki Takeuchi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2019-115
We propose a new distributed algorithm for multi-agent networks to solve Sandberg-Willson equations, which are well-know... [more] NLP2019-115
pp.13-18
MSS, NLP
(Joint)
2020-03-09
10:15
Aichi  
(Cancelled but technical report was issued)
A projected consensus-based algorithm for minimizing the maximum error of a system of linear equations with nonnegativity constraints
Kosuke Kawashima, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2019-116
If a system of linear equations with nonnegativity constraints has a solution then it can be considered as a constrained... [more] NLP2019-116
pp.19-23
SIS 2019-12-12
15:45
Okayama Okayama University of Science [Invited Talk] Consensus-Based Distributed Algorithms and Applications to Machine Learning
Norikazu Takahashi (Okayama Univ.) SIS2019-29
Recently, consensus-based distributed optimization methods for multi-agent systems have been vigorously studied in the f... [more] SIS2019-29
p.35
IT, ISEC, WBS 2019-03-07
15:30
Tokyo University of Electro-Communications Analyzing Final Round Key of AES Implemented on Microcomputer using Neural Network
Satoshi Kosugi, Sho Joichi, Ken Ikuta, Takuya Kusaka, Yasuyuki Nogami, Norikazu Takahashi (Okayama University) IT2018-86 ISEC2018-92 WBS2018-87
A side channel attack is an attack method that enable external key estimation by observing secondary information generat... [more] IT2018-86 ISEC2018-92 WBS2018-87
pp.71-76
NLP, NC
(Joint)
2019-01-24
15:00
Hokkaido The Centennial Hall, Hokkaido Univ. A Genetic Algorithm-Based Method for Finding Approximate Solutions to Minimum Steiner Tree Problems
Li-Ping Zhang, Norikazu Takahashi (Okayama Univ.), Zong-Xiao Yang (HAUST) NLP2018-121
The Euclidean Steiner Tree Problem (ESTP) is a classical combinatorial optimization problem that appears in various fiel... [more] NLP2018-121
pp.131-136
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
CAS, NLP 2018-10-19
14:45
Miyagi Tohoku Univ. Convergence of a Pseudo-Decentralized Discrete-Time Algorithm for Computing Algebraic Connectivity -- Analysis of the Case Where Algebraic Connectivity is Repeated --
Tomohisa Urakami, Norikazu Takahashi (Okayama Univ.) CAS2018-58 NLP2018-93
The algebraic connectivity of a network, which is defined as the second smallest eigenvalue of the Laplacian matrix, is ... [more] CAS2018-58 NLP2018-93
pp.115-120
NLP 2018-08-08
14:35
Kagawa Saiwai-cho Campus, Kagawa Univ. Reconstruction of CT images by iterative Least Squares Methods with Nonnegative Constraint
Hiromasa Kohno, Yuichi Tanji, Ken'ichi Fujimoto, Hiroyuki Kitajima, Yo Horikawa (Kagawa Univ.), Norikazu Takahashi (Okayama Univ.) NLP2018-57
 [more] NLP2018-57
pp.25-29
NLP 2018-08-09
09:30
Kagawa Saiwai-cho Campus, Kagawa Univ. Derivation and Experimental Evaluation of a Novel Nonnegative Matrix Factorization Algorithm for Discovering Communities
Yoshito Usuzaka, Norikazu Takahashi (Okayama Univ.) NLP2018-64
Community discovery is an important technique for a better understanding of the structure of a network. We consider the ... [more] NLP2018-64
pp.57-62
NLP 2018-08-09
09:55
Kagawa Saiwai-cho Campus, Kagawa Univ. A Convergence Condition for the Projected Consensus Algorithm on a Network with a Fixed Topology
Kosuke Kawashima, Norikazu Takahashi (Okayama Univ.) NLP2018-65
This report studies the problem of making the states of all agents in a network converge to the same point in the inters... [more] NLP2018-65
pp.63-68
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