FPGA implementation of a support vector machine for classification and regression.
Marta Ruiz-LlataGuillermo GuarnizoMar Yébenes-CalvinoPublished in: IJCNN (2010)
Keyphrases
- support vector machine
- support vector
- fpga implementation
- svm classifier
- support vector machine svm
- support vector regression
- classification method
- high classification accuracy
- classification algorithm
- multi class
- feature vectors
- classification accuracy
- svm classification
- feature selection
- training set
- image classification
- regression problems
- decision boundary
- generalization ability
- real time
- decision forest
- kernel methods
- decision trees
- kernel function
- pattern recognition
- feature space
- linear regression
- training data
- regression model
- regression method
- feature extraction
- model selection
- general purpose
- machine learning