Committee 
Date Time 
Place 
Paper Title / Authors 
Abstract 
Paper # 
NLP, MSS 
20240314 10:00 
Misc. 
KikaiShinkoKaikan Bldg. 
Extraction of Traffic Accident HighRisk Areas Using Deep Learning of Map Images and GradCAM Kaito Arase, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) 
(To be available after the conference date) [more] 

NLP, MSS 
20240314 11:15 
Misc. 
KikaiShinkoKaikan Bldg. 
Parallelization of a Search Algorithm for Regular Graphs with Minimum Average Shortest Path Length Taku Hirayama, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) 
(To be available after the conference date) [more] 

NLP, CAS 
20231007 13:00 
Gifu 
Work plaza Gifu 
An algorithm for finding regular graphs that maximize algebraic connectivity under a specified number of vertices and degree Masashi Kurahashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) CAS202354 NLP202353 
Algebraic connectivity is a measure of network robustness, and defined by the second smallest eigenvalue of the Laplacia... [more] 
CAS202354 NLP202353 pp.106110 
NLP, CAS 
20231007 13:20 
Gifu 
Work plaza Gifu 
Proposal and evaluation of a distributed lasso algorithm based on alternating direction multiplier method Naoki Toda, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) CAS202355 NLP202354 
Lasso is widely known as a sparse estimation method for regression coefficients in linear regression models, and the Alt... [more] 
CAS202355 NLP202354 pp.111116 
WPT, EMCJ, EMD (Joint) 
20230721 16:30 
Tokyo 
(Primary: Onsite, Secondary: Online) 
Determination of Circuit Element Constant Ranges by ANN for EMI Filters in Brush Motor Circuits Containing Cables Shohei Kan, Norikazu Takahashi, Masaki Himuro, Akito Mashino, Kengo Iokibe, Yoshitaka Toyota (Okayama Univ.) EMCJ202334 
[more] 
EMCJ202334 pp.2932 
PRMU, IPSJCVIM 
20230519 10:05 
Aichi 
(Primary: Onsite, Secondary: Online) 
Differentiable Ray Tracing for Estimating Object Shape, Texture, and Light Source Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) PRMU202310 
In this report, an inverse problem of raytracingbased image synthesis is discussed. The proposed method estimates a se... [more] 
PRMU202310 pp.5156 
NLP, MSS 
20230317 14:30 
Nagasaki 
(Primary: Onsite, Secondary: Online) 
Global Convergence Analysis of Distributed HALS Algorithm for Nonnegative Matrix Factorization Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2022104 NLP2022149 
As a fast computational method for Nonnegative Matrix Factorization (NMF),
the Hierarchical Alternating Least Squares ... [more] 
MSS2022104 NLP2022149 pp.198203 
NLP, MSS 
20230317 14:50 
Nagasaki 
(Primary: Onsite, 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.) MSS2022105 NLP2022150 
As an approach to efficiently perform largescale Nonnegative Matrix Factorization (NMF), a randomized NMF was recently ... [more] 
MSS2022105 NLP2022150 pp.204209 
CCS, NLP 
20220609 17:15 
Osaka 
(Primary: Onsite, 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.) NLP202210 CCS202210 
The authors have recently conducted training of Convolutional Neural Networks (CNNs) on OpenStreetMap images each of whi... [more] 
NLP202210 CCS202210 pp.4651 
CCS, NLP 
20220609 17:40 
Osaka 
(Primary: Onsite, Secondary: Online) 
Speeding up an algorithm for searching generalized Moore graphs Taku Hirayama, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP202211 CCS202211 
Computer networks in data centers are modeled as undirected regular graphs, and the average shortest path length (ASPL) ... [more] 
NLP202211 CCS202211 pp.5257 
NC, IBISML, IPSJBIO, IPSJMPS [detail] 
20210628 13:50 
Online 
Online 
Simplification of Average Consensus Algorithm in Distributed HALS Algorithm for NMF Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC20213 IBISML20213 
Nonnegative Matrix Factorization (NMF) is the process of approximating a given nonnegative matrix by the product of two ... [more] 
NC20213 IBISML20213 pp.1522 
NC, IBISML, IPSJBIO, IPSJMPS [detail] 
20210628 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.) NC20214 IBISML20214 
Nonnegative matrix factorization (NMF) is the process of decomposing a given nonnegative matrix into two nonnegative fac... [more] 
NC20214 IBISML20214 pp.2330 
NLP, MSS (Joint) 
20210315 13:00 
Online 
Online 
Proposal of Novel Distributed Learning Algorithms for MultiNeural Networks Kazuaki Harada, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP202058 
A method for multiple neural networks (NNs) with the same structure to learn multiple sets of training data collected at... [more] 
NLP202058 pp.1722 
NLP, MSS (Joint) 
20210315 13:25 
Online 
Online 
Graph Structure Optimization Using Genetic Algorithms Hiroki Tajiri, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP202059 
There are many large and complex networks in the real world. These networks are modeled as graphs and analyzed using a v... [more] 
NLP202059 pp.2328 
MSS, CAS, IPSJAL [detail] 
20201125 16:35 
Online 
Online 
Generalization of PseudoDecentralized ContinuousTime Algorithms for Estimation of Algebraic Connectivity Katsuki Shimada, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) CAS202023 MSS202015 
Development of decentralized algorithms for multiple agents in a network to estimate its connectivity is a fundamental a... [more] 
CAS202023 MSS202015 pp.2227 
MSS, CAS, IPSJAL [detail] 
20201125 17:00 
Online 
Online 
Distributed Algorithms based on Multiplicative Update Rules for Nonnegative Matrix Factorization Yohei Domen, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) CAS202024 MSS202016 
Nonnegative matrix factorization (NMF) is a multivariate method that approximates a given nonnegative matrix by the prod... [more] 
CAS202024 MSS202016 pp.2833 
NLP 
20200515 13:00 
Online 
Online 
A Genetic Algorithm for Minimizing Average Shortest Path Length of Regular Graphs Reiji Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP20203 
For the problem of finding a regular graph with given order and degree that minimizes the average shortest path length, ... [more] 
NLP20203 pp.1116 
NLP 
20200515 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.) NLP20204 
Principal component analysis is one of the most important methods of multivariate analysis, and has been applied in a wi... [more] 
NLP20204 pp.1722 
MSS, NLP (Joint) 
20200309 09:50 
Aichi 
(Cancelled but technical report was issued) 
A Distributed Algorithm for Solving SandbergWillson Equations Based on Sequential Minimization of Convex Quadratic Functions Masaaki Takeuchi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2019115 
We propose a new distributed algorithm for multiagent networks to solve SandbergWillson equations, which are wellknow... [more] 
NLP2019115 pp.1318 
MSS, NLP (Joint) 
20200309 10:15 
Aichi 
(Cancelled but technical report was issued) 
A projected consensusbased algorithm for minimizing the maximum error of a system of linear equations with nonnegativity constraints Kosuke Kawashima, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2019116 
If a system of linear equations with nonnegativity constraints has a solution then it can be considered as a constrained... [more] 
NLP2019116 pp.1923 