A framework for unsupervised change detection in activity recognition

Engineering

• Recognition Model 100%
• Phase Line 100%
• Detection Technique 50%
• Performance Degradation 50%
• Architectural Level 50%
• Adaptation Models 50%
• Coherency 50%
• Reference Data 50%
• Error Rate 50%
• Statistical Process Control 50%

Computer Science

• Activity Recognition 100%
• Performance Model 33%
• Concept Drift 16%
• Control Method 16%
• Architectural Framework 16%
• Training Dataset 16%
• Performance Degradation 16%
• Process Control 16%
• Reference Data 16%
• Model Adaptation 16%
• Base Classifier 16%
• Statistical Process 16%
• Sensor Placement 16%
• Data Discrimination 16%