@inproceedings{84cd37e95ff3409d84ce492d4b65514d,
title = "A damped Newton algorithm for nonnegative matrix factorization based on alpha-divergence",
abstract = "A novel Newton-type algorithm for nonnegative matrix factorization based on α-divergence is proposed in this paper. The proposed algorithm is a cyclic coordinate descent algorithm that decreases the objective function value along one coordinate direction at a time by using a damped Newton method for monotone equations. It is proved that the proposed algorithm has the global convergence property in the sense of Zangwill. It is also shown experimentally that the proposed algorithm is fast, independent of the value of α while conventional algorithms become very slow for some values of α.",
keywords = "Damped Newton method, Divergence, Global convergence, Nonnegative matrix factorization",
author = "Takehiro Sano and Tsuyoshi Migita and Norikazu Takahashi",
year = "2019",
month = nov,
doi = "10.1109/ICSAI48974.2019.9010306",
language = "English",
series = "2019 6th International Conference on Systems and Informatics, ICSAI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "463--468",
editor = "Wanqing Wu and Lipo Wang and Chunlei Ji and Niansheng Chen and Sun Qiang and Xiaoyong Song and Xin Wang",
booktitle = "2019 6th International Conference on Systems and Informatics, ICSAI 2019",
note = "6th International Conference on Systems and Informatics, ICSAI 2019 ; Conference date: 02-11-2019 Through 04-11-2019",
}