Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms.
Mkhuseli NgxandeJules-Raymond TapamoMichael BurkePublished in: CoRR (2019)
Keyphrases
- computational complexity
- computational cost
- data structure
- significant improvement
- theoretical analysis
- computational demands
- computational speed
- detection accuracy
- false positive rate
- high accuracy
- computationally efficient
- prediction accuracy
- spatial outliers
- detection rate
- times faster
- computational efficiency
- statistically significant
- worst case
- bayesian networks
- orders of magnitude
- data sets
- automatic detection
- false alarms
- data reduction
- semi supervised
- lower bound
- clustering algorithm