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Why Do Angular Margin Losses Work Well for Semi-Supervised Anomalous Sound Detection?
Kevin Wilkinghoff
Frank Kurth
Published in:
IEEE ACM Trans. Audio Speech Lang. Process. (2024)
Keyphrases
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semi supervised
anomaly detection
detection method
detecting anomalous
false alarms
automatic detection
detection algorithm
object detection
pairwise
multi view
semi supervised learning
false positives
support vector
unsupervised learning
knn
event detection
detection rate
computer vision
detection accuracy
machine learning