Ian En-Hsu Yen, Xin Lin, Jiong Zhang, Pradeep Ravikumar, Inderjit S. Dhillon. A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery. In Maria-Florina Balcan, Kilian Q. Weinberger, editors, Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016. Volume 48 of JMLR Workshop and Conference Proceedings, pages 2272-2280, JMLR.org, 2016. [doi]
@inproceedings{YenLZRD16,
title = {A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery},
author = {Ian En-Hsu Yen and Xin Lin and Jiong Zhang and Pradeep Ravikumar and Inderjit S. Dhillon},
year = {2016},
url = {http://jmlr.org/proceedings/papers/v48/yena16.html},
researchr = {https://researchr.org/publication/YenLZRD16},
cites = {0},
citedby = {0},
pages = {2272-2280},
booktitle = {Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016},
editor = {Maria-Florina Balcan and Kilian Q. Weinberger},
volume = {48},
series = {JMLR Workshop and Conference Proceedings},
publisher = {JMLR.org},
}