A rapid pattern-recognition method for driving styles using clustering-based support vector machines.
Wenshuo WangJunqiang XiPublished in: ACC (2016)
Keyphrases
- pattern recognition
- support vector
- classification accuracy
- synthetic data
- image processing
- objective function
- high accuracy
- neural network
- classification method
- clustering method
- edge detection
- support vector machine
- experimental evaluation
- image analysis
- preprocessing
- similarity measure
- computational cost
- support vector machine svm
- feature selection
- cross validation
- data sets
- pattern classification
- learning machines
- multi class classification