Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida. An approach to spacecraft anomaly detection problem using kernel feature space. In Robert Grossman, Roberto J. Bayardo, Kristin P. Bennett, editors, Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005. pages 401-410, ACM, 2005. [doi]
@inproceedings{FujimakiYM05,
title = {An approach to spacecraft anomaly detection problem using kernel feature space},
author = {Ryohei Fujimaki and Takehisa Yairi and Kazuo Machida},
year = {2005},
doi = {10.1145/1081870.1081917},
url = {http://doi.acm.org/10.1145/1081870.1081917},
tags = {systematic-approach},
researchr = {https://researchr.org/publication/FujimakiYM05},
cites = {0},
citedby = {0},
pages = {401-410},
booktitle = {Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005},
editor = {Robert Grossman and Roberto J. Bayardo and Kristin P. Bennett},
publisher = {ACM},
isbn = {1-59593-135-X},
}