Sample size reduction in groundwater surveys via sparse data assimilation.
Zaeem HussainAbubakr MuhammadPublished in: ICNSC (2013)
Keyphrases
- sample size
- data assimilation
- model selection
- anomaly detection
- small sample
- progressive sampling
- simulation models
- kalman filter
- upper bound
- statistical hypothesis testing
- high dimensional
- random sampling
- smart environments
- remote sensing
- worst case
- statistical power
- motion field
- simulation model
- image sequences
- sparse representation
- supervised learning
- face recognition
- learning algorithm
- agent based simulation
- machine learning
- image analysis
- data mining