Unsupervised Feature Learning for Outlier Detection with Stacked Convolutional Autoencoders, Siamese Networks and Wasserstein Autoencoders: Application to Epilepsy Detection.
Zara AlaverdyanJiazheng ChaiCarole LartizienPublished in: DLMIA/ML-CDS@MICCAI (2018)
Keyphrases
- outlier detection
- detection algorithm
- detecting outliers
- unsupervised feature learning
- denoising
- deep learning
- high dimensional datasets
- data streams
- restricted boltzmann machine
- fraud detection
- density ratio estimation
- change point detection
- deep belief networks
- video sequences
- data mining
- higher order
- knowledge discovery
- density estimation
- object recognition
- object detection
- learning algorithm
- image segmentation
- detect outliers
- credit card fraud detection
- image sequences
- distance based outlier detection
- text classification