A Rapid Pattern-Recognition Method for Driving Types Using Clustering-Based Support Vector Machines.
Wenshuo WangJunqiang XiPublished in: CoRR (2016)
Keyphrases
- pattern recognition
- cross validation
- high accuracy
- preprocessing
- support vector
- support vector machine svm
- cost function
- classification accuracy
- neural network
- clustering method
- computational cost
- machine learning
- segmentation method
- synthetic data
- detection method
- support vector machine
- dynamic programming
- multiscale
- experimental evaluation
- training samples
- significant improvement
- prior knowledge
- evolutionary algorithm
- feature space
- loss function
- speech recognition
- logistic regression
- training data
- high precision
- pattern classification
- learning machines