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 Results 1 - 6 of 6  /   
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   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
 Results 1 - 6 of 6  /   
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