Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification.
Amin ZollanvariMuratkhan AbdirashAresh DadlaniBerdakh AbibullaevPublished in: IEEE Signal Process. Lett. (2019)
Keyphrases
- binary classification
- linear discriminant analysis
- cost sensitive
- multi class
- face recognition
- support vector
- principal component analysis
- dimensionality reduction
- support vector machine
- feature extraction
- support vector machine svm
- cost sensitive classification
- feature space
- multi class classification
- active learning
- class distribution
- high dimensional data
- class imbalance
- binary classifiers
- boosting algorithms
- naive bayes
- worst case
- sample size
- feature selection
- high dimensional
- multi label
- pairwise
- pattern recognition
- image features
- feature vectors