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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
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
DE, IPSJ-DBS 2019-12-24
16:55
Tokyo National Institute of Informatics
Yuichiro Sakazaki, Rin Adachi, Jun Rokui (univ. of Shizuoka) DE2019-32
We proposed a model that integrates several types of data by multiple regression analysis and performs future prediction... [more] DE2019-32
pp.93-98
AI 2018-02-17
11:40
Tokyo   Target search strategy using estimated view
Kazuto Murakami, Jun Rokui (Shimane Univ) AI2017-24
Communication has generally been used for the target search. It is necessary to prepare the environment to communicate f... [more] AI2017-24
pp.37-42
NLC 2016-09-09
15:15
Tokyo Convention Room AP Shibuya-Dogenzaka (Tokyo) Time lag correlation analysis between SNS Infomations.
Fumitaka Urano, Jun Rokui (Shimane univ) NLC2016-27
(Advance abstract in Japanese is available) [more] NLC2016-27
pp.79-84
BioX, ITE-ME, ITE-IST 2015-06-29
13:00
Ishikawa Kanazawa University, Kakuma Campus On-line Handwriting Verification Using Autoencoder
Shun Sugahara, Jun Rokui (Shimane Univ.) BioX2015-4
On-line handwriting verification has the essential problem, which is a trade off between false accept rate(FAR) and fals... [more] BioX2015-4
pp.27-32
NC, MBE 2015-03-16
14:00
Tokyo Tamagawa University Spam E-Mail Filtering Using Gray SOM
Naoki Miyamoto, Jun Rokui (Shimane Univ.) MBE2014-165 NC2014-116
It has become an important issue that filtering of Ham-Mail or Spam-Mail as the Spam-Mail increase.
The vague Mail call... [more]
MBE2014-165 NC2014-116
pp.271-276
HCGSYMPO
(2nd)
2013-12-18
- 2013-12-20
Ehime Matsuyama Multi-Purpose Community Cente The action strategy of the mah-jong using an interdependence probability model
Shogo Takahashi, Jun Rokui (Shima Univ)
An information game problem is divided into a perfect information game and an incomplete information game. It is classif... [more]
MBE, NC
(Joint)
2012-03-14
17:15
Tokyo Tamagawa University The Number decision method of hidden units using the cumulative weight changing amount
Shuniti Ishi, Jun Rokui (Shimane Univ.) NC2011-147
In this research, we verified about the method of determining the number of hidden units which is one
of the performanc... [more]
NC2011-147
pp.153-158
HCGSYMPO
(2nd)
2011-12-07
- 2011-12-09
Kagawa Sun Port Hall Takamatsu Song Select Application Based On User's Musical Preferences
Hiroshi Morita, Jun Rokui (Shimane Univ)
In this paper, We propose a music selection method based on emergent Classifier System. In case that we deal with music ... [more]
 Results 1 - 13 of 13  /   
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