Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy.
Ario SadafiNiklas KoehlerAsya MakhroAnna BogdanovaNassir NavabCarsten MarrTingying PengPublished in: MICCAI (1) (2019)
Keyphrases
- multi class
- active learning
- binary classification
- cost sensitive
- pairwise
- multiclass classification
- multi class classification
- support vector machine
- feature selection
- multiple classes
- perceptron algorithm
- semi supervised
- active learning strategies
- random sampling
- binary classifiers
- multiclass learning
- binary classification problems
- semi supervised learning
- cost sensitive classification
- labeled data
- supervised learning
- multi class classifier
- multiclass support vector machines
- machine learning
- error correcting output codes
- class imbalance
- accurate classification
- boosting algorithms
- multi class problems
- multiclass problems
- data sets
- base classifiers
- transfer learning
- training set
- face recognition
- learning algorithm
- multiclass svm