dc.contributor.author | Liu, Zhaoyi | |
dc.contributor.author | Michiels, Sam | |
dc.contributor.author | Joosen, Wouter | |
dc.contributor.author | Hughes, Danny | |
dc.date.accessioned | 2022-11-15T10:47:38Z | |
dc.date.available | 2022-09-29T02:51:21Z | |
dc.date.available | 2022-11-15T10:47:38Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | na | |
dc.identifier.other | WOS:000855254100055 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/40520.2 | |
dc.source | WOS | |
dc.title | Poster Abstract: Adapting Pretrained Features for Efficient Unsupervised Acoustic Anomaly Detection | |
dc.type | Proceedings paper | |
dc.contributor.imecauthor | Joosen, Wouter | |
dc.identifier.doi | 10.1109/IPSN54338.2022.00063 | |
dc.identifier.eisbn | 978-1-6654-9624-7 | |
dc.source.numberofpages | 2 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 525 | |
dc.source.endpage | 526 | |
dc.source.conference | 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) | |
dc.source.conferencedate | MAY 04-06, 2022 | |
dc.source.conferencelocation | Milano, Italy | |
dc.source.journal | na | |
imec.availability | Published - imec | |
dc.description.wosFundingText | This research is partially funded by the Research Fund KU Leuven, and by imec and Flanders Innovation Entrepreneurship (VLAIO) in the context of the WiPeR project. | |