Word Recognition using Embedded Prototype Subspace Classifiers on a new Imbalanced Dataset.
Anders HastEkta VatsPublished in: J. WSCG (2021)
Keyphrases
- imbalanced datasets
- rare class
- decision trees
- imbalanced data
- feature selection algorithms
- class distribution
- learning from imbalanced data
- training data
- dimensionality reduction
- support vector
- principal component analysis
- feature selection
- minority class
- machine learning algorithms
- naive bayes
- training samples
- high dimensional data
- test set
- class labels
- low dimensional
- ensemble methods
- classification models
- cost sensitive learning
- linear classifiers
- meta learning
- training set
- feature space
- nearest neighbour
- ensemble learning
- machine learning methods
- training examples
- weak classifiers
- decision boundary
- active learning
- ensemble classifier
- random forest
- classification algorithm
- feature set
- multi class