Detecting facial emotions using normalized minimal feature vectors and semi-supervised twin support vector machines classifier.
Manoj Kumar PrabhakaranManoj Kumar RajagopalPublished in: Appl. Intell. (2019)
Keyphrases
- feature vectors
- support vector
- semi supervised
- svm classifier
- support vector machine
- large margin classifiers
- learning machines
- face images
- emotion recognition
- feature space
- similarity measure
- semi supervised learning
- feature set
- co training
- feature selection
- unlabeled data
- labeled and unlabeled data
- morphological features
- kernel function
- logistic regression
- decision function
- feature extraction
- binary classification
- human faces
- face recognition
- support vector machine svm
- unlabeled samples
- train a support vector machine
- labeled data
- facial expressions
- classification accuracy
- training examples
- euclidean distance
- decision trees
- multi class
- support vectors
- labeled samples
- multi view
- generalization ability
- hyperplane
- kernel methods
- rotation invariant
- soft margin
- supervised learning
- maximum margin
- training data
- active learning
- loss function
- pairwise constraints
- labeled examples
- facial images
- feature ranking
- training set
- linear classifiers
- ensemble learning
- speech recognition
- learning algorithm