A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing.
Marco MaggipintoAlessandro BeghiGian Antonio SustoPublished in: INDIN (2019)
Keyphrases
- anomaly detection
- deep learning
- dimensional data
- unsupervised learning
- multi dimensional
- intrusion detection
- high dimensional
- high dimensional data
- data sets
- machine learning
- dimensionality reduction
- data points
- intrusion detection system
- r tree
- mental models
- weakly supervised
- detect anomalies
- supervised learning
- semi supervised
- pairwise
- maximum likelihood
- nearest neighbor
- sparse representation
- feature space
- data streams
- training data
- feature extraction
- image segmentation
- neural network