Boosting the Hardware-Efficiency of Cascade Support Vector Machines for Embedded Classification Applications.
Christos KyrkouTheocharis TheocharidesChristos-Savvas BouganisMarios M. PolycarpouPublished in: Int. J. Parallel Program. (2018)
Keyphrases
- support vector
- classification accuracy
- generalization ability
- large margin classifiers
- feature selection
- learning machines
- support vector machine
- soft margin
- svm classifier
- kernel machines
- low cost
- embedded systems
- cross validation
- machine learning
- logistic regression
- cost sensitive
- classification algorithm
- training set
- boosting algorithms
- learning algorithm
- kernel function
- pattern recognition
- support vector machine svm
- weak classifiers
- feature space
- feature vectors
- supervised learning
- maximum margin
- image classification
- benchmark datasets
- binary classification
- classification models
- hyperplane
- classification method
- text classification
- hardware and software
- multiclass classification
- naive bayes
- svm classification
- weak learners
- training examples
- control software
- margin maximization