Embedded Hardware-Efficient Real-Time Classification With Cascade Support Vector Machines.
Christos KyrkouChristos-Savvas BouganisTheocharis TheocharidesMarios M. PolycarpouPublished in: IEEE Trans. Neural Networks Learn. Syst. (2016)
Keyphrases
- support vector
- real time
- classification accuracy
- low cost
- learning machines
- large margin classifiers
- generalization ability
- support vector machine
- svm classifier
- standard pc
- embedded systems
- cross validation
- logistic regression
- feature selection
- machine learning
- video rate
- hardware and software
- support vector machine svm
- feature vectors
- pattern recognition
- low latency
- multi class classification
- margin maximization
- training set
- embedded processors
- neural network
- control software
- soft margin
- decision function
- graphics hardware
- real time embedded
- feature ranking
- massively parallel
- computing systems
- classification method
- classification algorithm
- text classification
- image classification
- scheduling problem
- feature extraction
- decision trees