A multi features fusion support vector machine for classification of emotion issue in the design of an audio recognition system.
Imen TrabelsiMed Salim BouhlelPublished in: Int. J. Appl. Pattern Recognit. (2016)
Keyphrases
- support vector machine
- svm classifier
- feature extraction
- feature vectors
- classification method
- classification accuracy
- feature space
- svm classification
- support vector machine svm
- feature set
- classification process
- emotion classification
- support vector machine classifiers
- classification models
- extracting features
- classification algorithm
- machine learning
- low level
- class labels
- design process
- image classification
- feature values
- feature reduction
- extracted features
- multimodal fusion
- emotion recognition
- generalization ability
- multimedia
- feature selection
- decision forest
- high classification accuracy
- pattern recognition
- feature subset
- decision trees
- benchmark datasets
- multi class
- multiple kernel learning
- physiological signals
- histogram intersection kernel
- learning algorithm
- face recognition
- lexical features
- mel frequency cepstral coefficients
- classification performances
- image features
- data sets
- tree kernels
- kernel principal component analysis
- information fusion
- audio visual
- feature selection algorithms