Population anomaly detection through deep gaussianization
- 8 April 2019
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM) in Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
- p. 1330-1336
- https://doi.org/10.1145/3297280.3297414
Abstract
No abstract availableThis publication has 5 references indexed in Scilit:
- Anomaly Detection with Robust Deep AutoencodersPublished by Association for Computing Machinery (ACM) ,2017
- Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker DiscoveryLecture Notes in Computer Science, 2017
- GLADACM Transactions on Knowledge Discovery From Data, 2015
- Iterative Gaussianization: From ICA to Random RotationsIEEE Transactions on Neural Networks, 2011
- Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal ProcessingJournal of Signal Processing Systems, 2006