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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 16:40 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Separate Predictive Time Series Reconstruction using Independent Low-Rank Matrix Analysis Hibiki Izumi, Jun Rokui (Univ of Shizuoka) PRMU2022-95 IBISML2022-102 |
Time series forecasting is the field to predict future values from past values, and various methods have been proposed.
... [more] |
PRMU2022-95 IBISML2022-102 pp.187-192 |
PRMU |
2021-12-16 15:15 |
Online |
Online |
Multivariate time series forecasting accuracy improvement method based on LSTNet Hayato Sano, Jun Rokui (Univ of Shizuoka) PRMU2021-37 |
Multivariate time series forecasting is a field to predict future values by analyzing the past of multiple time series d... [more] |
PRMU2021-37 pp.71-76 |
MBE, NC (Joint) |
2020-12-18 15:40 |
Online |
Online |
Time-delayed LSTM for historical time series Prediction Rin Adachi, Jun Rokui (Univ of Shizuoka) NC2020-30 |
The research which applies machine learning to the social time series prediction is actively carried out. Among them, ma... [more] |
NC2020-30 pp.13-18 |
PRMU, IPSJ-CVIM |
2020-05-14 13:00 |
Online |
Online |
Separater for Generative Adversarial Networks Takeshi Oba, Jun Rokui (Univ of Shizuoka) PRMU2020-1 |
We focus on the movement between the data of the generator and the Discriminator in the Genera- tive Adversarial Network... [more] |
PRMU2020-1 pp.1-6 |
PRMU, IPSJ-CVIM |
2020-05-15 09:50 |
Online |
Online |
Online handwriting recognition based on LSTM-Autoencoder Junji Sakurai, Jun Rokui (Univ of Shizuoka) PRMU2020-6 |
Correct data and incorrect data are required for online handwriting recognition. However, It is difficult to prepare eno... [more] |
PRMU2020-6 pp.29-34 |
NLC |
2012-02-03 10:05 |
Niigata |
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Relation analysis of high degree user on Twitter by using follow similarity Akihiro Koide, Kazumi Saito (Univ of Shizuoka), Fujio Toriumi (Nagoya Univ), Kazuhiro Kazama (NTT Network Innovation Laboratories) NLC2011-62 |
In this paper, as the first step to construct user models on Twitter, we focus on the high degree users who are consider... [more] |
NLC2011-62 pp.37-42 |
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