An Unsupervised Approach to Anomaly Detection in Music Datasets.

Yen-Cheng Lu|Chih-Wei Wu|Chang-Tien Lu|Alexander Lerch


Anthology ID:DBLP:conf/sigir/LuWLL16
Volume:Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016
Year:2016
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:749-752
URL:https://doi.org/10.1145/2911451.2914700
DOI:https://doi.org/10.1145/2911451.2914700
DBLP:conf/sigir/LuWLL16
BibTeX:
@inproceedings{lu-2016-unsupervised, author = {Yen-Cheng Lu and Chih-Wei Wu and Chang-Tien Lu and Alexander Lerch}, editor = {Raffaele Perego and Fabrizio Sebastiani and Javed A. Aslam and Ian Ruthven and Justin Zobel}, title = {{An Unsupervised Approach to Anomaly Detection in Music Datasets}}, booktitle = {{Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016}}, pages = {749--752}, publisher = {ACM}, year = {2016}, url = {https://doi.org/10.1145/2911451.2914700}, doi = {https://doi.org/10.1145/2911451.2914700} }