Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection.
Tsuyoshi IdéAnkush KhandelwalJayant KalagnanamPublished in: ICDM (2016)
Keyphrases
- anomaly detection
- gaussian markov random field
- autoregressive
- sparse pca
- intrusion detection
- edge preserving
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- gray scale
- intrusion detection system
- negative selection algorithm
- sparse representation
- one class support vector machines
- detect anomalies
- high dimensional
- non stationary
- network anomaly detection
- image segmentation
- regularization framework
- maximum likelihood
- random fields
- compressive sensing
- support vector
- unsupervised learning
- data mining
- image restoration
- image processing
- machine learning