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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 74  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2024-05-09
15:30
Kagawa Kagawa Prefecture Social Welfare Center An Euclidean Steiner Tree Problem Solver based on Genetic Algorithm and Delaunay Triangulation
Liping Zhang, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.)
 [more]
NLP 2024-05-10
10:30
Kagawa Kagawa Prefecture Social Welfare Center Federated Learning Algorithms based on Decentralized Spanning Tree Generation and Step-by-Step Consensus
Yuki Mori, Tatsuya Kayatani, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.)
 [more]
NLP, MSS 2024-03-14
10:00
Misc. Kikai-Shinko-Kaikan Bldg. Extraction of Traffic Accident High-Risk Areas Using Deep Learning of Map Images and Grad-CAM
Kaito Arase, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2023-86 NLP2023-138
An attempt has been made to predict the traffic accident risk of each map tile image at zoom level 17 using a Convolutio... [more] MSS2023-86 NLP2023-138
pp.71-76
NLP, MSS 2024-03-14
11:15
Misc. Kikai-Shinko-Kaikan Bldg. Parallelization of a Search Algorithm for Regular Graphs with Minimum Average Shortest Path Length
Taku Hirayama, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2023-89 NLP2023-141
Computer networks in data centers are modeled as regular graphs, and the average shortest path length (ASPL) of such a g... [more] MSS2023-89 NLP2023-141
pp.87-92
NLP, CAS 2023-10-07
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.) CAS2023-54 NLP2023-53
Algebraic connectivity is a measure of network robustness, and defined by the second smallest eigenvalue of the Laplacia... [more] CAS2023-54 NLP2023-53
pp.106-110
NLP, CAS 2023-10-07
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.) CAS2023-55 NLP2023-54
Lasso is widely known as a sparse estimation method for regression coefficients in linear regression models, and the Alt... [more] CAS2023-55 NLP2023-54
pp.111-116
WPT, EMCJ, EMD
(Joint)
2023-07-21
16:30
Tokyo
(Primary: On-site, 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.) EMCJ2023-34
 [more] EMCJ2023-34
pp.29-32
PRMU, IPSJ-CVIM 2023-05-19
10:05
Aichi
(Primary: On-site, Secondary: Online)
Differentiable Ray Tracing for Estimating Object Shape, Texture, and Light Source
Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) PRMU2023-10
In this report, an inverse problem of raytracing-based image synthesis is discussed. The proposed method estimates a se... [more] PRMU2023-10
pp.51-56
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
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
 Results 1 - 20 of 74  /  [Next]  
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