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Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection.
Erik Marchi
Fabio Vesperini
Stefano Squartini
Björn W. Schuller
Published in:
Comput. Intell. Neurosci. (2017)
Keyphrases
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novelty detection
text filtering
denoising
neural network
anomaly detection
sentence level
feed forward
concept drift
deep belief networks
recurrent neural networks
support vector data description
deep learning
computer vision
unsupervised learning
text mining
restricted boltzmann machine
email
data analysis