Embedded feature-selection support vector machine for driving pattern recognition.
Xing ZhangGuang WuZuomin DongCurran CrawfordPublished in: J. Frankl. Inst. (2015)
Keyphrases
- support vector machine
- feature selection
- pattern recognition
- machine learning
- support vector machine svm
- multi class
- feature extraction
- support vector
- small sample
- text categorization
- svm classifier
- dimensionality reduction
- signal processing
- mutual information
- k nearest neighbor
- learning machines
- selected features
- feature selection algorithms
- classification accuracy
- computer vision
- feature ranking
- kernel methods
- embedded systems
- svm classification
- image analysis
- feature space
- training data
- image processing
- high dimensionality
- hyperplane
- dimension reduction
- generalization ability
- feature set
- text classification
- recursive feature elimination
- feature vectors
- data mining
- pattern recognition problems
- method for feature selection
- microarray data
- classification algorithm
- fuzzy sets
- knn
- neural network
- multi task
- gene selection
- watermarking algorithm
- classification method
- discriminative features
- input features
- kernel function
- rough sets
- classification performances
- autonomous driving