Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers.
Pawan LingrasCory J. ButzPublished in: RSFDGrC (2) (2005)
Keyphrases
- storage requirements
- support vector machine
- svm classifier
- support vector
- significantly reduced
- training data
- decision boundary
- classification algorithm
- small sample
- feature selection
- ensemble classifier
- computational cost
- classification method
- training set
- support vector machine svm
- high classification accuracy
- computational complexity
- decision trees
- linear support vector machines
- majority voting
- support vector machine classifiers
- k nearest neighbor
- machine learning algorithms
- k nearest neighbour
- multi class
- kernel function
- image classification
- memory requirements
- kernel methods
- training samples
- real time
- training examples
- generalization ability
- feature set
- supervised classification
- high computational complexity
- feature space
- compression rate
- logistic regression
- multiclass classification
- linear classifiers
- roc curve
- classification models
- image compression
- knn
- feature vectors
- multiscale
- machine learning