An SVM parameter learning algorithm scalable on large data size for driver fatigue detection.
Yongquan XieChengqi BianYi Lu MurpheyDev S. KochharPublished in: SSCI (2017)
Keyphrases
- training data
- data sets
- learning algorithm
- data collection
- raw data
- data distribution
- small number
- database
- image data
- input data
- knowledge discovery
- data analysis
- high quality
- machine learning
- probability distribution
- synthetic data
- original data
- data quality
- active learning
- prior knowledge
- support vector machine
- support vector
- computer systems
- anomaly detection
- support vector machine svm
- back propagation
- neural network