EMO&LY (EMOtion and AnomaLY) : A new corpus for anomaly detection in an audiovisual stream with emotional context.
Cédric FayetArnaud DelhayDamien LolivePierre-François MarteauPublished in: LREC (2018)
Keyphrases
- anomaly detection
- emotion recognition
- detecting anomalies
- intrusion detection
- anomalous behavior
- high dimensional data streams
- streaming data
- network intrusion detection
- intrusion detection system
- computer security
- data streams
- network traffic
- detect anomalies
- unsupervised anomaly detection
- network anomaly detection
- facial expressions
- anomaly based intrusion detection
- connectionist systems
- image segmentation
- emotional state
- unsupervised learning
- multi objective
- behavior analysis
- affective states
- one class support vector machines
- audio visual
- negative selection algorithm
- detecting anomalous
- misuse detection
- activity recognition
- cumulative sum
- pattern recognition