Learning features on tear film lipid layer classification.
Beatriz RemeseiroVerónica Bolón-CanedoAmparo Alonso-BetanzosManuel G. PenedoPublished in: ESANN (2015)
Keyphrases
- feature vectors
- supervised learning
- feature extraction
- feature space
- unsupervised learning
- classification accuracy
- visual object recognition
- feature construction
- support vector machine svm
- feature set
- supervised learning algorithms
- learning process
- machine learning
- svm classifier
- class labels
- extracted features
- learning algorithm
- benchmark datasets
- neural network
- learning systems
- incremental learning
- classification models
- learning phase
- gender classification
- prior knowledge
- classification method
- classification process
- pattern recognition
- learning models
- decision trees
- rule learning
- reinforcement learning
- learning tasks
- classification algorithm
- knn
- selecting features
- learned models
- image classification
- online learning
- feature analysis
- positive and unlabeled examples
- e learning
- feature selection
- multi category
- data sets
- discriminative learning
- object recognition
- pattern classification
- texture analysis
- support vector machine
- image features
- multi class
- text classification