◼ An Introduction ◼ Surveillance and Coverage ◼ Mobile Sensors ◼ Reality and Terrain ◼ Scalability and Heterogeneous Sensor Nets ◼ Multiple Sensor Nets and InterSensorNets ◼ Semantic Sensor Nets ◼ Detection and Anti-detection
• Models – HMM: Hidden Markov Model – maximum entropy Markov model – CRFs: Conditional Random Fields • Tasks – Chinese word segmentation – part-of-speech tagging – named entity recognition