A comparison of SVM and HMM classifiers in the off-line signature verification.
Edson J. R. JustinoFlávio BortolozziRobert SabourinPublished in: Pattern Recognit. Lett. (2005)
Keyphrases
- support vector
- svm classifier
- hidden markov models
- feature selection
- training data
- support vector machine
- training set
- classification algorithm
- decision boundary
- support vector machine classifiers
- support vector machine svm
- improves the classification accuracy
- bayes classifier
- classification method
- kernel function
- linear support vector machines
- training samples
- small sample
- ensemble classifier
- hyperplane
- high classification accuracy
- multi class
- svm classification
- bayesian classifiers
- support vectors
- linear classifiers
- kernel methods
- rule based classifier
- naive bayes
- rbf kernel
- decision trees
- discriminative classifiers
- unbalanced data
- linear svm
- train a support vector machine
- fold cross validation
- speech recognition
- feature vectors
- supervised classification
- image classification
- training examples
- confusion matrices
- classification models
- decision stumps
- training set size
- imbalanced data
- machine learning
- classifier training
- naive bayes classifier
- decision function
- input features
- majority voting