Transcription of Variational Autoencoder based Anomaly Detection using ...
{{id}} {{{paragraph}}}
Example: confidence
Variational Autoencoder based Anomaly Detection using ...
SNU Data Mining Center 2015-2 Special Lecture on IE. Variational Autoencoder based Anomaly Detection using Reconstruction probability Jinwon An Sungzoon Cho December 27, 2015. Abstract We propose an Anomaly Detection method using the reconstruction probability from the Variational Autoencoder . The reconstruction probability is a probabilistic measure that takes into account the variability of the distribution of variables. The reconstruction probability has a theoretical background making it a more principled and objective Anomaly score than the reconstruction error, which is used by Autoencoder and principal components based Anomaly Detection methods. Experimental results show that the proposed method outper- forms Autoencoder based and principal components based methods.
using Reconstruction Probability Jinwon An jinwon@dm.snu.ac.kr Sungzoon Cho zoon@snu.ac.kr December 27, 2015 Abstract We propose an anomaly detection method using the reconstruction probability from the variational autoencoder. The reconstruction probability is a probabilistic measure that takes into account the variability of the distribution ...
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: