@inproceedings{7b769fc64c0d4d52bb3c76cc0ce0e5ca,
title = "Automatic view composition for improving co-training",
abstract = "In this paper, we propose a view composition method for co-training. In order to compose views properly, two assumptions should be satisfied. One is that two views are class-conditionally independent on each other; the other is that the classification information between labels and view is high. We apply Class-Conditional Independent Component Analysis (CC-ICA) to obtain new features which are mutually independent, and compose views hold a high classification information. We show that our method is promising and effective through the experiment.",
keywords = "CC-ICA, co-training, mutual information, view composition",
author = "Hyewoo Lee and Kyoungmin Kim and Jaedong Lee and Lee, \{Jee Hyong\}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 ; Conference date: 03-12-2014 Through 06-12-2014",
year = "2014",
month = feb,
day = "18",
doi = "10.1109/SCIS-ISIS.2014.7044858",
language = "English",
series = "2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "13--16",
booktitle = "2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014",
}