Location Forensics of Media Recordings Utilizing Cascaded SVM and Pole-matching Classifiers.
Jayanta DeyMohammad Ariful HaquePublished in: CoRR (2019)
Keyphrases
- support vector
- svm classifier
- training data
- support vector machine classifiers
- improves the classification accuracy
- classification algorithm
- support vector machine svm
- feature selection
- support vector machine
- training set
- small sample
- train a support vector machine
- classification method
- linear support vector machines
- decision trees
- majority voting
- high classification accuracy
- highest accuracy
- rule based classifier
- fold cross validation
- text classifiers
- decision boundary
- svm classification
- bayes classifier
- logistic regression
- matching algorithm
- linear svm
- kernel support vector machines
- ensemble classifier
- kernel methods
- support vectors
- feature vectors
- multi class
- linear classifiers
- naive bayes
- class labels
- training examples
- rbf kernel
- text categorization
- classifier training
- decision function
- multiple kernel learning
- imbalanced data
- machine learning algorithms
- multiclass classification
- naive bayes classifier
- face detection
- digital forensics
- feature ranking
- input features
- generalization ability
- large margin classifiers
- knn
- classification accuracy
- unbalanced data
- active learning
- binary classifiers
- face recognition