Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma.
Yuma KoizumiShoichiro SaitoHisashi UematsuYuta KawachiNoboru HaradaPublished in: CoRR (2018)
Keyphrases
- deep learning
- neyman pearson
- unsupervised learning
- deep architectures
- anomaly detection
- weakly supervised
- unsupervised feature learning
- restricted boltzmann machine
- deep belief networks
- type ii
- machine learning
- neural network
- semi supervised
- support vector machine
- supervised learning
- natural images
- object detection
- partial occlusion
- multi class
- data sets