Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification.
Ting ShuBob ZhangYuan Yan TangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- classification process
- supervised classification
- feature selection
- classification scheme
- classification method
- robust classification
- classification algorithm
- class labels
- support vector machine
- decision trees
- training samples
- probabilistic classifiers
- supervised learning
- feature space
- svm classifier
- supervised classifiers
- classification rate
- single class
- multiple classifiers
- nearest neighbor classifier
- binary classification problems
- classification models
- learning algorithm
- feature vectors
- training set
- binary classifiers
- support vector
- classification accuracy
- feature set
- imbalanced datasets
- image classification
- text classification
- k nearest neighbour
- decision boundary
- unsupervised learning
- class imbalance
- individual classifiers
- feature extraction
- labeled and unlabeled data
- cost sensitive learning
- linear classifiers
- training data
- roc curve
- support vector machine svm
- semi supervised learning
- multi class
- learning vector quantization
- supervised training
- semi supervised
- avoid overfitting
- label information
- classifier combination
- minority class
- image representation
- classification error
- pattern classification
- high dimensionality
- high dimensional
- active learning