Automatic blur type classification via ensemble SVM.
Rui WangWei LiRui LiLiang ZhangPublished in: Signal Process. Image Commun. (2019)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- classification algorithm
- feature vectors
- svm classifier
- classification method
- feature selection
- training set
- ensemble classifier
- final classification
- majority voting
- svm classification
- generalization ability
- pattern recognition
- improves the classification accuracy
- classification accuracy
- decision trees
- multi class classification
- ensemble methods
- binary classification problems
- ensemble learning
- multiclass support vector machines
- partially supervised
- machine learning
- text classification
- knn
- kernel function
- unbalanced data
- feature extraction
- regression problems
- support vector machine classifiers
- imbalanced data
- feature space
- neural network
- structured output
- feature ranking
- classifier ensemble
- fold cross validation
- text classifiers
- benchmark datasets
- feature set
- linear support vector machines
- standard svm
- training data
- image classification
- multi class svm
- support vectors
- fuzzy support vector machine
- cost sensitive