Online joint classification and anomaly detection via sparse coding.
Alfredo A. KalaitzisJames D. B. NelsonPublished in: MLSP (2014)
Keyphrases
- anomaly detection
- sparse coding
- unsupervised learning
- dictionary learning
- image classification
- object category recognition
- intrusion detection
- sparse representation
- detecting anomalies
- network intrusion detection
- natural images
- feature space
- supervised learning
- anomalous behavior
- intrusion detection system
- image representation
- linear combination
- one class support vector machines
- sparse codes
- pattern recognition
- generative model
- machine learning
- decision trees
- image patches
- support vector
- feature vectors
- signal processing
- feature selection
- detect anomalies
- small number
- data sets
- training data
- text classification
- feature extraction
- computer vision
- dimensionality reduction
- co occurrence
- knowledge discovery